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Sample records for strengths predicted voting

  1. Vote!

    CERN Multimedia

    Association du personnel

    2006-01-01

    This bulletin comes out at the same time as the public meetings end. The attendance at these meeting encourages us to believe that you feel more and more concerned by your employment conditions and by the Management's decisions in this area. We now must consolidate this interest with a vote. It is essential that you take a few minutes of your time to express your opinion in an electronic poll. Now is the time to seize the opportunity you have been given to influence your employment conditions for the coming five years. We will ask you to give your opinion on two packages, the first concerning the future salary level, the second concerning other employment conditions. In both cases, your participation and replies will determine what the Staff Association should do next and will be carefully watched by our negotiation partners*. We will also ask you to tell us to what extent you would be willing to take action in the event that you disagree with the proposals made by the Management. The Staff Association needs ...

  2. Prediction of RNA-Binding Proteins by Voting Systems

    Directory of Open Access Journals (Sweden)

    C. R. Peng

    2011-01-01

    Full Text Available It is important to identify which proteins can interact with RNA for the purpose of protein annotation, since interactions between RNA and proteins influence the structure of the ribosome and play important roles in gene expression. This paper tries to identify proteins that can interact with RNA using voting systems. Firstly through Weka, 34 learning algorithms are chosen for investigation. Then simple majority voting system (SMVS is used for the prediction of RNA-binding proteins, achieving average ACC (overall prediction accuracy value of 79.72% and MCC (Matthew’s correlation coefficient value of 59.77% for the independent testing dataset. Then mRMR (minimum redundancy maximum relevance strategy is used, which is transferred into algorithm selection. In addition, the MCC value of each classifier is assigned to be the weight of the classifier’s vote. As a result, best average MCC values are attained when 22 algorithms are selected and integrated through weighted votes, which are 64.70% for the independent testing dataset, and ACC value is 82.04% at this moment.

  3. Do Implicit Attitudes Predict Actual Voting Behavior Particularly for Undecided Voters?

    Science.gov (United States)

    Friese, Malte; Smith, Colin Tucker; Plischke, Thomas; Bluemke, Matthias; Nosek, Brian A.

    2012-01-01

    The prediction of voting behavior of undecided voters poses a challenge to psychologists and pollsters. Recently, researchers argued that implicit attitudes would predict voting behavior particularly for undecided voters whereas explicit attitudes would predict voting behavior particularly for decided voters. We tested this assumption in two studies in two countries with distinct political systems in the context of real political elections. Results revealed that (a) explicit attitudes predicted voting behavior better than implicit attitudes for both decided and undecided voters, and (b) implicit attitudes predicted voting behavior better for decided than undecided voters. We propose that greater elaboration of attitudes produces stronger convergence between implicit and explicit attitudes resulting in better predictive validity of both, and less incremental validity of implicit over explicit attitudes for the prediction of voting behavior. However, greater incremental predictive validity of implicit over explicit attitudes may be associated with less elaboration. PMID:22952898

  4. Perceived health from biological motion predicts voting behaviour.

    Science.gov (United States)

    Kramer, Robin S S; Arend, Isabel; Ward, Robert

    2010-04-01

    Body motion signals socially relevant traits like the sex, age, and even the genetic quality of actors and may therefore facilitate various social judgements. By examining ratings and voting decisions based solely on body motion of political candidates, we considered how the candidates' motion affected people's judgements and voting behaviour. In two experiments, participants viewed stick figure motion displays made from videos of politicians in public debate. Participants rated the motion displays for a variety of social traits and then indicated their vote preference. In both experiments, perceived physical health was the single best predictor of vote choice, and no two-factor model produced significant improvement. Notably, although attractiveness and leadership correlated with voting behaviour, neither provided additional explanatory power to a single-factor model of health alone. Our results demonstrate for the first time that motion can produce systematic vote preferences.

  5. Could the outcome of the 2016 US elections have been predicted from past voting patterns?

    CSIR Research Space (South Africa)

    Schmitz, Peter MU

    2017-07-01

    Full Text Available In South Africa, a team of analysts has for some years been using statistical techniques to predict election outcomes during election nights in South Africa. The prediction method involves using statistical clusters based on past voting patterns...

  6. Brief implicit association test: Validity and utility in prediction of voting behavior

    Directory of Open Access Journals (Sweden)

    Pavlović Maša D.

    2013-01-01

    Full Text Available We employed the Brief Implicit Association Test (a recently developed short version of IAT to measure implicit political attitudes toward four political parties running for Serbian parliament. To test its criterion validity, we measured voting intention and actual voting behavior. In addition, we introduced political involvement as a potential moderator of the BIAT’s predictive and incremental validity. The BIAT demonstrated good internal and predictive validity, but lacked incremental validity over self-report measures. Predictive power of the BIAT was moderated by political involvement - the BIAT scores were stronger predictors of voting intention and behavior among voters highly involved in politics. [Projekat Ministarstva nauke Republike Srbije, br. 179018

  7. The Political Gender Gap: Gender Bias in Facial Inferences that Predict Voting Behavior

    Science.gov (United States)

    Chiao, Joan Y.; Bowman, Nicholas E.; Gill, Harleen

    2008-01-01

    Background Throughout human history, a disproportionate degree of political power around the world has been held by men. Even in democracies where the opportunity to serve in top political positions is available to any individual elected by the majority of their constituents, most of the highest political offices are occupied by male leaders. What psychological factors underlie this political gender gap? Contrary to the notion that people use deliberate, rational strategies when deciding whom to vote for in major political elections, research indicates that people use shallow decision heuristics, such as impressions of competence solely from a candidate's facial appearance, when deciding whom to vote for. Because gender has previously been shown to affect a number of inferences made from the face, here we investigated the hypothesis that gender of both voter and candidate affects the kinds of facial impressions that predict voting behavior. Methodology/Principal Finding Male and female voters judged a series of male and female political candidates on how competent, dominant, attractive and approachable they seemed based on their facial appearance. Then they saw a series of pairs of political candidates and decided which politician they would vote for in a hypothetical election for President of the United States. Results indicate that both gender of voter and candidate affect the kinds of facial impressions that predict voting behavior. All voters are likely to vote for candidates who appear more competent. However, male candidates that appear more approachable and female candidates who appear more attractive are more likely to win votes. In particular, men are more likely to vote for attractive female candidates whereas women are more likely to vote for approachable male candidates. Conclusions/Significance Here we reveal gender biases in the intuitive heuristics that voters use when deciding whom to vote for in major political elections. Our findings underscore

  8. The political gender gap: gender bias in facial inferences that predict voting behavior.

    Directory of Open Access Journals (Sweden)

    Joan Y Chiao

    Full Text Available BACKGROUND: Throughout human history, a disproportionate degree of political power around the world has been held by men. Even in democracies where the opportunity to serve in top political positions is available to any individual elected by the majority of their constituents, most of the highest political offices are occupied by male leaders. What psychological factors underlie this political gender gap? Contrary to the notion that people use deliberate, rational strategies when deciding whom to vote for in major political elections, research indicates that people use shallow decision heuristics, such as impressions of competence solely from a candidate's facial appearance, when deciding whom to vote for. Because gender has previously been shown to affect a number of inferences made from the face, here we investigated the hypothesis that gender of both voter and candidate affects the kinds of facial impressions that predict voting behavior. METHODOLOGY/PRINCIPAL FINDING: Male and female voters judged a series of male and female political candidates on how competent, dominant, attractive and approachable they seemed based on their facial appearance. Then they saw a series of pairs of political candidates and decided which politician they would vote for in a hypothetical election for President of the United States. Results indicate that both gender of voter and candidate affect the kinds of facial impressions that predict voting behavior. All voters are likely to vote for candidates who appear more competent. However, male candidates that appear more approachable and female candidates who appear more attractive are more likely to win votes. In particular, men are more likely to vote for attractive female candidates whereas women are more likely to vote for approachable male candidates. CONCLUSIONS/SIGNIFICANCE: Here we reveal gender biases in the intuitive heuristics that voters use when deciding whom to vote for in major political elections. Our

  9. Justice blocks and predictability of U.S. Supreme Court votes.

    Directory of Open Access Journals (Sweden)

    Roger Guimerà

    Full Text Available Successful attempts to predict judges' votes shed light into how legal decisions are made and, ultimately, into the behavior and evolution of the judiciary. Here, we investigate to what extent it is possible to make predictions of a justice's vote based on the other justices' votes in the same case. For our predictions, we use models and methods that have been developed to uncover hidden associations between actors in complex social networks. We show that these methods are more accurate at predicting justice's votes than forecasts made by legal experts and by algorithms that take into consideration the content of the cases. We argue that, within our framework, high predictability is a quantitative proxy for stable justice (and case blocks, which probably reflect stable a priori attitudes toward the law. We find that U.S. Supreme Court justice votes are more predictable than one would expect from an ideal court composed of perfectly independent justices. Deviations from ideal behavior are most apparent in divided 5-4 decisions, where justice blocks seem to be most stable. Moreover, we find evidence that justice predictability decreased during the 50-year period spanning from the Warren Court to the Rehnquist Court, and that aggregate court predictability has been significantly lower during Democratic presidencies. More broadly, our results show that it is possible to use methods developed for the analysis of complex social networks to quantitatively investigate historical questions related to political decision-making.

  10. Cortisol and politics: variance in voting behavior is predicted by baseline cortisol levels.

    Science.gov (United States)

    French, Jeffrey A; Smith, Kevin B; Alford, John R; Guck, Adam; Birnie, Andrew K; Hibbing, John R

    2014-06-22

    Participation in electoral politics is affected by a host of social and demographics variables, but there is growing evidence that biological predispositions may also play a role in behavior related to political involvement. We examined the role of individual variation in hypothalamic-pituitary-adrenal (HPA) stress axis parameters in explaining differences in self-reported and actual participation in political activities. Self-reported political activity, religious participation, and verified voting activity in U.S. national elections were collected from 105 participants, who were subsequently exposed to a standardized (nonpolitical) psychosocial stressor. We demonstrated that lower baseline salivary cortisol in the late afternoon was significantly associated with increased actual voting frequency in six national elections, but not with self-reported non-voting political activity. Baseline cortisol predicted significant variation in voting behavior above and beyond variation accounted for by traditional demographic variables (particularly age of participant in our sample). Participation in religious activity was weakly (and negatively) associated with baseline cortisol. Our results suggest that HPA-mediated characteristics of social, cognitive, and emotional processes may exert an influence on a trait as complex as voting behavior, and that cortisol is a better predictor of actual voting behavior, as opposed to self-reported political activity. Copyright © 2014 Elsevier Inc. All rights reserved.

  11. Cortisol and Politics: Variance in Voting Behavior is Predicted by Baseline Cortisol Levels

    Science.gov (United States)

    French, Jeffrey A.; Smith, Kevin B.; Alford, John R.; Guck, Adam; Birnie, Andrew K.; Hibbing, John R.

    2014-01-01

    Participation in electoral politics is affected by a host of social and demographics variables, but there is growing evidence that biological predispositions may also play a role in behavior related to political involvement. We examined the role of individual variation in hypothalamic-pituitary-adrenal (HPA) stress axis parameters in explaining differences in self-reported and actual participation in political activities. Self-reported political activity, religious participation, and verified voting activity in U.S. national elections were collected from 105 participants, who were subsequently exposed to a standardized (nonpolitical) psychosocial stressor. We demonstrated that lower baseline salivary cortisol in the late afternoon was significantly associated with increased actual voting frequency in six national elections, but not with self-reported non-voting political activity. Baseline cortisol predicted significant variation in voting behavior above and beyond variation accounted for by traditional demographic variables (particularly age of participant in our sample). Participation in religious activity was weakly (and negatively) associated with baseline cortisol. Our results suggest that HPA-mediated characteristics of social, cognitive, and emotional processes may exert an influence on a trait as complex as voting behavior, and that cortisol is a better predictor of actual voting behavior, as opposed to self-reported political activity. PMID:24835544

  12. A theoretical adaptive model of thermal comfort - Adaptive Predicted Mean Vote (aPMV)

    Energy Technology Data Exchange (ETDEWEB)

    Yao, Runming [School of Construction Management and Engineering, The University of Reading (United Kingdom); Faculty of Urban Construction and Environmental Engineering, Chongqing University (China); Li, Baizhan [Key Laboratory of the Three Gorges Reservoir Region' s Eco-Environment (Ministry of Education), Chongqing University (China); Faculty of Urban Construction and Environmental Engineering, Chongqing University (China); Liu, Jing [School of Construction Management and Engineering, The University of Reading (United Kingdom)

    2009-10-15

    This paper presents in detail a theoretical adaptive model of thermal comfort based on the ''Black Box'' theory, taking into account factors such as culture, climate, social, psychological and behavioural adaptations, which have an impact on the senses used to detect thermal comfort. The model is called the Adaptive Predicted Mean Vote (aPMV) model. The aPMV model explains, by applying the cybernetics concept, the phenomena that the Predicted Mean Vote (PMV) is greater than the Actual Mean Vote (AMV) in free-running buildings, which has been revealed by many researchers in field studies. An Adaptive coefficient ({lambda}) representing the adaptive factors that affect the sense of thermal comfort has been proposed. The empirical coefficients in warm and cool conditions for the Chongqing area in China have been derived by applying the least square method to the monitored onsite environmental data and the thermal comfort survey results. (author)

  13. Decisions among the undecided: implicit attitudes predict future voting behavior of undecided voters.

    Directory of Open Access Journals (Sweden)

    Kristjen B Lundberg

    Full Text Available Implicit attitudes have been suggested as a key to unlock the hidden preferences of undecided voters. Past research, however, offered mixed support for this hypothesis. The present research used a large nationally representative sample and a longitudinal design to examine the predictive utility of implicit and explicit attitude measures in the 2008 U.S. presidential election. In our analyses, explicit attitudes toward candidates predicted voting better for decided than undecided voters, but implicit candidate attitudes were predictive of voting for both decided and undecided voters. Extending our examination to implicit and explicit racial attitudes, we found the same pattern. Taken together, these results provide convergent evidence that implicit attitudes predict voting about as well for undecided as for decided voters. We also assessed a novel explanation for these effects by evaluating whether implicit attitudes may predict the choices of undecided voters, in part, because they are neglected when people introspect about their confidence. Consistent with this idea, we found that the extremity of explicit but not implicit attitudes was associated with greater confidence. These analyses shed new light on the utility of implicit measures in predicting future behavior among individuals who feel undecided. Considering the prior studies together with this new evidence, the data seem to be consistent that implicit attitudes may be successful in predicting the behavior of undecided voters.

  14. Could the outcome of the 2016 US elections have been predicted from past voting patterns?

    Science.gov (United States)

    Schmitz, Peter M. U.; Holloway, Jennifer P.; Dudeni-Tlhone, Nontembeko; Ntlangu, Mbulelo B.; Koen, Renee

    2018-05-01

    In South Africa, a team of analysts has for some years been using statistical techniques to predict election outcomes during election nights in South Africa. The prediction method involves using statistical clusters based on past voting patterns to predict final election outcomes, using a small number of released vote counts. With the US presidential elections in November 2016 hitting the global media headlines during the time period directly after successful predictions were done for the South African elections, the team decided to investigate adapting their meth-od to forecast the final outcome in the US elections. In particular, it was felt that the time zone differences between states would affect the time at which results are released and thereby provide a window of opportunity for doing election night prediction using only the early results from the eastern side of the US. Testing the method on the US presidential elections would have two advantages: it would determine whether the core methodology could be generalised, and whether it would work to include a stronger spatial element in the modelling, since the early results released would be spatially biased due to time zone differences. This paper presents a high-level view of the overall methodology and how it was adapted to predict the results of the US presidential elections. A discussion on the clustering of spatial units within the US is also provided and the spatial distribution of results together with the Electoral College prediction results from both a `test-run' and the final 2016 presidential elections are given and analysed.

  15. Parsimonious data: How a single Facebook like predicts voting behavior in multiparty systems.

    Directory of Open Access Journals (Sweden)

    Jakob Bæk Kristensen

    Full Text Available This study shows how liking politicians' public Facebook posts can be used as an accurate measure for predicting present-day voter intention in a multiparty system. We highlight that a few, but selective digital traces produce prediction accuracies that are on par or even greater than most current approaches based upon bigger and broader datasets. Combining the online and offline, we connect a subsample of surveyed respondents to their public Facebook activity and apply machine learning classifiers to explore the link between their political liking behaviour and actual voting intention. Through this work, we show that even a single selective Facebook like can reveal as much about political voter intention as hundreds of heterogeneous likes. Further, by including the entire political like history of the respondents, our model reaches prediction accuracies above previous multiparty studies (60-70%. The main contribution of this paper is to show how public like-activity on Facebook allows political profiling of individual users in a multiparty system with accuracies above previous studies. Beside increased accuracies, the paper shows how such parsimonious measures allows us to generalize our findings to the entire population of a country and even across national borders, to other political multiparty systems. The approach in this study relies on data that are publicly available, and the simple setup we propose can with some limitations, be generalized to millions of users in other multiparty systems.

  16. e-Bitter: Bitterant Prediction by the Consensus Voting From the Machine-Learning Methods.

    Science.gov (United States)

    Zheng, Suqing; Jiang, Mengying; Zhao, Chengwei; Zhu, Rui; Hu, Zhicheng; Xu, Yong; Lin, Fu

    2018-01-01

    In-silico bitterant prediction received the considerable attention due to the expensive and laborious experimental-screening of the bitterant. In this work, we collect the fully experimental dataset containing 707 bitterants and 592 non-bitterants, which is distinct from the fully or partially hypothetical non-bitterant dataset used in the previous works. Based on this experimental dataset, we harness the consensus votes from the multiple machine-learning methods (e.g., deep learning etc.) combined with the molecular fingerprint to build the bitter/bitterless classification models with five-fold cross-validation, which are further inspected by the Y-randomization test and applicability domain analysis. One of the best consensus models affords the accuracy, precision, specificity, sensitivity, F1-score, and Matthews correlation coefficient (MCC) of 0.929, 0.918, 0.898, 0.954, 0.936, and 0.856 respectively on our test set. For the automatic prediction of bitterant, a graphic program "e-Bitter" is developed for the convenience of users via the simple mouse click. To our best knowledge, it is for the first time to adopt the consensus model for the bitterant prediction and develop the first free stand-alone software for the experimental food scientist.

  17. e-Bitter: Bitterant Prediction by the Consensus Voting From the Machine-Learning Methods

    Directory of Open Access Journals (Sweden)

    Suqing Zheng

    2018-03-01

    Full Text Available In-silico bitterant prediction received the considerable attention due to the expensive and laborious experimental-screening of the bitterant. In this work, we collect the fully experimental dataset containing 707 bitterants and 592 non-bitterants, which is distinct from the fully or partially hypothetical non-bitterant dataset used in the previous works. Based on this experimental dataset, we harness the consensus votes from the multiple machine-learning methods (e.g., deep learning etc. combined with the molecular fingerprint to build the bitter/bitterless classification models with five-fold cross-validation, which are further inspected by the Y-randomization test and applicability domain analysis. One of the best consensus models affords the accuracy, precision, specificity, sensitivity, F1-score, and Matthews correlation coefficient (MCC of 0.929, 0.918, 0.898, 0.954, 0.936, and 0.856 respectively on our test set. For the automatic prediction of bitterant, a graphic program “e-Bitter” is developed for the convenience of users via the simple mouse click. To our best knowledge, it is for the first time to adopt the consensus model for the bitterant prediction and develop the first free stand-alone software for the experimental food scientist.

  18. e-Bitter: Bitterant Prediction by the Consensus Voting From the Machine-learning Methods

    Science.gov (United States)

    Zheng, Suqing; Jiang, Mengying; Zhao, Chengwei; Zhu, Rui; Hu, Zhicheng; Xu, Yong; Lin, Fu

    2018-03-01

    In-silico bitterant prediction received the considerable attention due to the expensive and laborious experimental-screening of the bitterant. In this work, we collect the fully experimental dataset containing 707 bitterants and 592 non-bitterants, which is distinct from the fully or partially hypothetical non-bitterant dataset used in the previous works. Based on this experimental dataset, we harness the consensus votes from the multiple machine-learning methods (e.g., deep learning etc.) combined with the molecular fingerprint to build the bitter/bitterless classification models with five-fold cross-validation, which are further inspected by the Y-randomization test and applicability domain analysis. One of the best consensus models affords the accuracy, precision, specificity, sensitivity, F1-score, and Matthews correlation coefficient (MCC) of 0.929, 0.918, 0.898, 0.954, 0.936, and 0.856 respectively on our test set. For the automatic prediction of bitterant, a graphic program “e-Bitter” is developed for the convenience of users via the simple mouse click. To our best knowledge, it is for the first time to adopt the consensus model for the bitterant prediction and develop the first free stand-alone software for the experimental food scientist.

  19. A correlation linking the predicted mean vote and the mean thermal vote based on an investigation on the human thermal comfort in short-haul domestic flights.

    Science.gov (United States)

    Giaconia, Carlo; Orioli, Aldo; Di Gangi, Alessandra

    2015-05-01

    The results of an experimental investigation on the human thermal comfort inside the cabin of some Airbus A319 aircrafts during 14 short-haul domestic flights, linking various Italian cities, are presented and used to define a correlation among the predicted mean vote (PMV), a procedure which is commonly used to assess the thermal comfort in inhabited environments, and the equivalent temperature and mean thermal vote (MTV), which are the parameters suggested by the European Standard EN ISO 14505-2 for the evaluation of the thermal environment in vehicles. The measurements of the radiant temperature, air temperature and relative humidity during flights were performed. The air temperature varied between 22.2 °C and 26.0 °C; the relative humidity ranged from 8.7% to 59.2%. The calculated values of the PMV varied from -0.16 to 0.90 and were confirmed by the answers of the passengers. The equivalent temperature was evaluated using the equations of Fanger or on the basis of the values of the skin temperature measured on some volunteers. The correlation linking the thermal sensation scales and zones used by the PMV and the MTV resulted quite accurate because the minimum value of the absolute difference between such environmental indexes equalled 0.0073 and the maximum difference did not exceed the value of 0.0589. Even though the equivalent temperature and the MTV were specifically proposed to evaluate the thermal sensation in vehicles, their use may be effectively extended to the assessment of the thermal comfort in airplanes or other occupied places. Copyright © 2014 Elsevier Ltd and The Ergonomics Society. All rights reserved.

  20. The Consequences of Collective Discontent : A New Measure of Zeitgeist Predicts Voting for Extreme Parties

    NARCIS (Netherlands)

    van der Bles, Anne Marthe; Postmes, Tom; LeKander-Kanis, Babet; Otjes, Simon

    2018-01-01

    In recent years, extreme right-wing and left-wing political parties and actors have gained popularity in many Western countries. What motivates people to vote for extreme right- or left-wing parties? In previous research, we showed that a collectively shared sense of doom and gloom about society can

  1. Parliament votes against building fifth power reactor

    International Nuclear Information System (INIS)

    Anon.

    1993-01-01

    After a heated three-day debate, Finland's parliament voted on September 24 to reject the proposal to build the country's fifth nuclear power reactor. As predicted, the vote was close: 107 voted against more nuclear power, 90 were in favor, two members of the 200-seat parliament were not present, and the speaker did not vote

  2. Voting Present

    Directory of Open Access Journals (Sweden)

    James Lo

    2013-12-01

    Full Text Available During his time as a state senator in Illinois, Barack Obama voted “Present” 129 times, a deliberate act of nonvoting that subsequently became an important campaign issue during the 2008 presidential elections. In this article, I examine the use of Present votes in the Illinois state senate. I find evidence that Present votes can largely be characterized as protest votes used as a legislative tool by the minority party. Incorporating information from Present votes into a Bayesian polytomous item-response model, I find that this information increases the efficiency of ideal point estimates by approximately 35%. There is little evidence of significant moderation by Obama when Present votes are accounted for, though my results suggest that Obama’s voting record may have moderated significantly before his subsequent election to the U.S. Senate. My results also suggest that because legislative nonvoting may occur for a variety of reasons, naive inclusion of nonvoting behavior into vote choice models may lead to biased results.

  3. Theoretical predictions for alpha particle spectroscopic strengths

    International Nuclear Information System (INIS)

    Draayer, J.P.

    1975-01-01

    Multinucleon transfers induced in heavy-ion reactions of the type ( 6 Li,d) furnish a selective probe with which to study the interplay between rotational and clustering phenomena so characteristic of the structure of the light sd-shell nuclei. For these nuclei, theoretical predictions for inter-band as well as intra-band transfer strengths can be made using recently tabulated results for angular momentum dependent SU 3 inclusion R 3 relative spectroscopic strengths and angular momentum independent SU 6 inclusion SU 3 coefficients of fractional parentage. The pure SU 3 (oscillator)-SU 4 (supermultiplet) symmetry limit agrees well with results obtained using available eigenfunctions determined in large shell model calculations. In particular, the scalar nature of a transferred ''alpha''-cluster insures that the effect of spatial symmetry admixtures in the initial and final states of the target and residual nuclei are minimized. Sum rule quantities provide a measure of the probable effects of symmetry breaking. Strength variations within a band are expected; transfers to core excited states are often favored. Results extracted from exact finite range DWBA analyses of ( 6 Li,d) data on 16 , 18 O, 20 , 21 , 22 Ne, 24 , 25 Mg show some anomalies in our understanding of the structure and/or reaction mechanisms. (18 figures) (U.S.)

  4. Prediction of concrete strength in massive structures

    International Nuclear Information System (INIS)

    Sakamoto, T.; Makino, H.; Nakane, S.; Kawaguchi, T.; Ohike, T.

    1989-01-01

    Reinforced concrete structures of a nuclear power plant are mostly of mass concrete with cross-sectional dimensions larger than 1.0 m. The temperature of concrete inside after placement rises due to heat of hydration of cement. It is well known that concrete strengths of mass concrete structure subjected to such temperature hysteresis are generally not equal to strengths of cylinders subjected to standard curing. In order to construct a mass concrete structure of high reliability in which the specified concrete strength is satisfied by the specified age, it is necessary to have a thorough understanding of the strength gain property of concrete in the structure and its relationships with the water-cement ratio of the mix, strength of standard-cured cylinders and the internal temperature hysteresis. This report describes the result of studies on methods of controlling concrete strength in actual construction projects

  5. receive signal strength prediction in the gsm band using wavelet

    African Journals Online (AJOL)

    user

    strength was measured on a Mobile Equipment (ME). One-dimensional ... used to predict the fading phenomenon of the GSM receive signal strength measured. Wavelet ... radio wavelength. The prediction is ... realized by reusing frequency in a dense or complex .... NETWORK SIGNAL PRO software, down loaded from.

  6. Predicting Flexural Strength of Concretes Incorporating River Gravel ...

    African Journals Online (AJOL)

    In most of these cases the cause of the collapse could be traced to the strength of the construction materials which is usually concrete. Secondly, experimental ... The flexural strength predictions were compared with predictions from an alternative model based on regression analysis. The results of the study show that for the ...

  7. Predicting the Compressive Strength of Concretes Made with ...

    African Journals Online (AJOL)

    In most of these cases the cause of the collapse could be traced to the strength of the construction materials, mainly concrete. Secondly, experimental ... The compressive strength predictions were compared with predictions from an alternative model based on regression analysis. The results of the study show that for the ...

  8. models for predicting compressive strength and water absorption

    African Journals Online (AJOL)

    user

    presents a mathematical model for predicting the compressive strength and water absorption of laterite-quarry dust cement block using ... building and construction of new infrastructure and .... In (6), R is a vector containing the real ratios of the.

  9. Predicting the Strength of Online News Frames

    Directory of Open Access Journals (Sweden)

    Hrvoje Jakopović

    2017-10-01

    Full Text Available Framing theory is one of the most significant approaches to understanding media and their potential impact on publics. Leaving aside that fact, the author finds that publicity effects seem to be dispersed and difficult to catch for public relations. This article employs a specific research design, which could be applied to public relations practice, namely with a view to observing correlations between specific media frames and individual frames. The approach is based on the typology of news frames. The author attributes negative, positive and neutral determinants to the types of frames in his empirical research. Online news regarding three transport organizations and the accompanying user comments (identified as negative, positive and neutral are analysed by means of the method of content and sentiment analysis. The author recognizes user comments and reviews as individual frames that take part in the creation of online image. Furthermore, he identifies the types of media frames as well as individual frames manifested as image, and undertakes correlation research in order to establish their prediction potential. The results expose the most frequently used types of media frames concerning the transport domain. The media are keen to report through the attribution of responsibility frame, and after that, through the economic frame and the conflict frame, but, on the other hand, they tend to neglect the human interest frame and the morality frame. The results show that specific types of news frames enable better prediction of user reactions. The economic frame and the human interest frame therefore represent the most predictable types of frame.

  10. Models for predicting compressive strength and water absorption of ...

    African Journals Online (AJOL)

    This work presents a mathematical model for predicting the compressive strength and water absorption of laterite-quarry dust cement block using augmented Scheffe's simplex lattice design. The statistical models developed can predict the mix proportion that will yield the desired property. The models were tested for lack of ...

  11. Predicting vertebral bone strength by vertebral static histomorphometry

    DEFF Research Database (Denmark)

    Thomsen, Jesper Skovhus; Ebbesen, Ebbe Nils; Mosekilde, Lis

    2002-01-01

    of the entire vertebral bodies (L-2) were used for histomorphometry. The other iliac crest biopsies and the L-3 were destructively tested by compression. High correlation was found between BV/TV or Tb.Sp and vertebral bone strength (absolute value of r = 0.86 in both cases). Addition of Tb.Th significantly....... No gender-related differences were found in any of the relationships. Neither static histomorphometry nor biomechanical testing of iliac crest bone biopsies is a good predictor of vertebral bone strength.......The study investigates the relationship between static histomorphometry and bone strength of human lumbar vertebral bone. The ability of vertebral histomorphometry to predict vertebral bone strength was compared with that of vertebral densitometry, and also with histomorphometry and bone strength...

  12. Moral Foundations and Voting Intention in Italy

    Directory of Open Access Journals (Sweden)

    Patrizia Milesi

    2017-11-01

    Full Text Available Based on the view of morality proposed by the Moral Foundations Theory, this paper investigates whether voting intention is associated with moral foundation endorsement in not perfectly bipolar electoral contexts. Three studies carried out in Italy from 2010 to 2013, showed that controlling for ideological orientation, moral foundation endorsement is associated with voting intention. In Study 1 and 3, in fictitious and real national elections, intention to vote for right-wing political groups rather than for left-wing rivals was associated with Sanctity, confirming previous results obtained in the U.S. Furthermore, as a function of the specific competing political groups in each of the examined contexts other moral foundations predicted voting intention. In Study 1, Care and Authority predicted voting intention for the major political groups rather than for an autonomist party that aimed at decreasing central government’s fiscal power in favor of fiscal regional autonomy. In Study 3, Loyalty predicted the intention to vote for the major parliamentarian parties rather than for a movement that aimed at capturing disaffection towards traditional politics. In Study 2, at real regional elections, Loyalty predicted voting intention for the incumbent right-wing governor rather than for the challengers and Fairness predicted voting intention for left-wing extra-parliamentarian political groups rather than for the major left-wing party. Thus multiple moral concerns can be associated with voting intention. In fragmented and unstable electoral contexts, at each election the context of the competing political groups may elicit specific moral concerns that can contribute to affect voting intention beyond ideological orientation.

  13. Prediction of the residual strength of clay using functional networks

    Directory of Open Access Journals (Sweden)

    S.Z. Khan

    2016-01-01

    Full Text Available Landslides are common natural hazards occurring in most parts of the world and have considerable adverse economic effects. Residual shear strength of clay is one of the most important factors in the determination of stability of slopes or landslides. This effect is more pronounced in sensitive clays which show large changes in shear strength from peak to residual states. This study analyses the prediction of the residual strength of clay based on a new prediction model, functional networks (FN using data available in the literature. The performance of FN was compared with support vector machine (SVM and artificial neural network (ANN based on statistical parameters like correlation coefficient (R, Nash--Sutcliff coefficient of efficiency (E, absolute average error (AAE, maximum average error (MAE and root mean square error (RMSE. Based on R and E parameters, FN is found to be a better prediction tool than ANN for the given data. However, the R and E values for FN are less than SVM. A prediction equation is presented that can be used by practicing geotechnical engineers. A sensitivity analysis is carried out to ascertain the importance of various inputs in the prediction of the output.

  14. Approval Voting and Parochialism

    Science.gov (United States)

    Baron, Jonathan; Altman, Nicole Y.; Kroll, Stephan

    2005-01-01

    In hypothetical scenarios involving two groups (nations or groups of workers), subjects voted on three proposals: one helped group A (their group), one helped B, and one helped both groups, more than the average of the first two but less than their maximum. When subjects voted for one proposal, most voted for the one that helped group A. This…

  15. Prediction of strength of wood composite materials using ultrasonic

    International Nuclear Information System (INIS)

    Mahmoud, M.K.; Emam, A.

    2005-01-01

    Wood is a biological material integrating a very large variability of its mechanical properties (tensile and compressive), on the two directional longitudinal and transverse Ultrasonic method has been utilized to measure both wood physical and / or wood mechanical properties. The aim of this article is to show the development of ultrasonic technique for quality evaluation of trees, wood material and wood based composites. For quality assessment of these products we discuss the nondestructive evaluation of different factors such as: moisture content, temperature, biological degradation induced by bacterial attack and fungal attack. These techniques were adapted for trees, timber and wood based composites. The present study discusses the prediction of tensile and compressive strength of wood composite materials using ultrasonic testing. Empirical relationships between the tensile properties, compression strength and ultrasonic were proposed. The experimental results indicate the possibility of establishing a relationship between tensile strength and compression values. Moreover, the fractures in tensile and compressive are discussed by photographic

  16. Predicting of the compressive strength of RCA concrete

    Directory of Open Access Journals (Sweden)

    Jaskulski Roman

    2017-01-01

    Full Text Available The paper presents the results of predicting the strength of 61 concretes made with the use of recycled concrete aggregate (RCA. Five models in the form of first-order polynomials containing two to six variables characterizing the composition of the mixture were formulated for this purpose. Factors for unknowns were selected using linear regression in two variants: with and without additional coefficient. For each model, the average absolute error of the concrete strength estimation was determined. Because of the various consequences of underestimation and overestimation of the results, the analysis of models quality was carried out with the distinction of the two cases. The results indicate that the key to improving the quality of models is to take into account the quality of the aggregate expressed by the ACV parameter. Better match results were also obtained for models with more variables and the additional coefficient.

  17. Collapse mechanisms and strength prediction of reinforced concrete pile caps

    DEFF Research Database (Denmark)

    Jensen, Uffe G.; Hoang, Linh Cao

    2012-01-01

    . Calculations have been compared with nearly 200 test results found in the literature. Satisfactory agreement has been found. The analyses are conducted on concentrically loaded caps supported by four piles. The paper briefly outlines how the approach may be extended to more complicated loadings and geometries......This paper describes an upper bound plasticity approach for strength prediction of reinforced concrete pile caps. A number of collapse mechanisms are identified and analysed. The procedure leads to an estimate of the load-carrying capacity and an identification of the critical collapse mechanism...

  18. Party brands and voting

    DEFF Research Database (Denmark)

    Nielsen, Sigge Winther; Larsen, Martin Vinæs

    2014-01-01

    heuristics and voting models. Next, the article measures the brand value of Danish parties by utilizing a representative association analysis. Finally, this measure is used to conduct the very first empirical analysis of a party brand's effect on voting behavior. Overall, the primary finding demonstrates...

  19. History of voting

    NARCIS (Netherlands)

    Rosema, Martin; Moghaddam, Fathali M.

    2017-01-01

    Voting is the act of declaring a choice among a number of alternative options in the process of reaching a group decision on a particular matter. In politics, this mostly concerns the selection of a person for a specific position, such as a mayor or a member of parliament. The right to vote in

  20. Voting Intention and Choices: Are Voters Always Rational and Deliberative?

    Science.gov (United States)

    Lee, I-Ching; Chen, Eva E; Tsai, Chia-Hung; Yen, Nai-Shing; Chen, Arbee L P; Lin, Wei-Chieh

    2016-01-01

    Human rationality--the ability to behave in order to maximize the achievement of their presumed goals (i.e., their optimal choices)--is the foundation for democracy. Research evidence has suggested that voters may not make decisions after exhaustively processing relevant information; instead, our decision-making capacity may be restricted by our own biases and the environment. In this paper, we investigate the extent to which humans in a democratic society can be rational when making decisions in a serious, complex situation-voting in a local political election. We believe examining human rationality in a political election is important, because a well-functioning democracy rests largely upon the rational choices of individual voters. Previous research has shown that explicit political attitudes predict voting intention and choices (i.e., actual votes) in democratic societies, indicating that people are able to reason comprehensively when making voting decisions. Other work, though, has demonstrated that the attitudes of which we may not be aware, such as our implicit (e.g., subconscious) preferences, can predict voting choices, which may question the well-functioning democracy. In this study, we systematically examined predictors on voting intention and choices in the 2014 mayoral election in Taipei, Taiwan. Results indicate that explicit political party preferences had the largest impact on voting intention and choices. Moreover, implicit political party preferences interacted with explicit political party preferences in accounting for voting intention, and in turn predicted voting choices. Ethnic identity and perceived voting intention of significant others were found to predict voting choices, but not voting intention. In sum, to the comfort of democracy, voters appeared to engage mainly explicit, controlled processes in making their decisions; but findings on ethnic identity and perceived voting intention of significant others may suggest otherwise.

  1. Voting Intention and Choices: Are Voters Always Rational and Deliberative?

    Directory of Open Access Journals (Sweden)

    I-Ching Lee

    Full Text Available Human rationality--the ability to behave in order to maximize the achievement of their presumed goals (i.e., their optimal choices--is the foundation for democracy. Research evidence has suggested that voters may not make decisions after exhaustively processing relevant information; instead, our decision-making capacity may be restricted by our own biases and the environment. In this paper, we investigate the extent to which humans in a democratic society can be rational when making decisions in a serious, complex situation-voting in a local political election. We believe examining human rationality in a political election is important, because a well-functioning democracy rests largely upon the rational choices of individual voters. Previous research has shown that explicit political attitudes predict voting intention and choices (i.e., actual votes in democratic societies, indicating that people are able to reason comprehensively when making voting decisions. Other work, though, has demonstrated that the attitudes of which we may not be aware, such as our implicit (e.g., subconscious preferences, can predict voting choices, which may question the well-functioning democracy. In this study, we systematically examined predictors on voting intention and choices in the 2014 mayoral election in Taipei, Taiwan. Results indicate that explicit political party preferences had the largest impact on voting intention and choices. Moreover, implicit political party preferences interacted with explicit political party preferences in accounting for voting intention, and in turn predicted voting choices. Ethnic identity and perceived voting intention of significant others were found to predict voting choices, but not voting intention. In sum, to the comfort of democracy, voters appeared to engage mainly explicit, controlled processes in making their decisions; but findings on ethnic identity and perceived voting intention of significant others may suggest

  2. Strength development in concrete with wood ash blended cement and use of soft computing models to predict strength parameters.

    Science.gov (United States)

    Chowdhury, S; Maniar, A; Suganya, O M

    2015-11-01

    In this study, Wood Ash (WA) prepared from the uncontrolled burning of the saw dust is evaluated for its suitability as partial cement replacement in conventional concrete. The saw dust has been acquired from a wood polishing unit. The physical, chemical and mineralogical characteristics of WA is presented and analyzed. The strength parameters (compressive strength, split tensile strength and flexural strength) of concrete with blended WA cement are evaluated and studied. Two different water-to-binder ratio (0.4 and 0.45) and five different replacement percentages of WA (5%, 10%, 15%, 18% and 20%) including control specimens for both water-to-cement ratio is considered. Results of compressive strength, split tensile strength and flexural strength showed that the strength properties of concrete mixture decreased marginally with increase in wood ash contents, but strength increased with later age. The XRD test results and chemical analysis of WA showed that it contains amorphous silica and thus can be used as cement replacing material. Through the analysis of results obtained in this study, it was concluded that WA could be blended with cement without adversely affecting the strength properties of concrete. Also using a new statistical theory of the Support Vector Machine (SVM), strength parameters were predicted by developing a suitable model and as a result, the application of soft computing in structural engineering has been successfully presented in this research paper.

  3. Strength development in concrete with wood ash blended cement and use of soft computing models to predict strength parameters

    Directory of Open Access Journals (Sweden)

    S. Chowdhury

    2015-11-01

    Full Text Available In this study, Wood Ash (WA prepared from the uncontrolled burning of the saw dust is evaluated for its suitability as partial cement replacement in conventional concrete. The saw dust has been acquired from a wood polishing unit. The physical, chemical and mineralogical characteristics of WA is presented and analyzed. The strength parameters (compressive strength, split tensile strength and flexural strength of concrete with blended WA cement are evaluated and studied. Two different water-to-binder ratio (0.4 and 0.45 and five different replacement percentages of WA (5%, 10%, 15%, 18% and 20% including control specimens for both water-to-cement ratio is considered. Results of compressive strength, split tensile strength and flexural strength showed that the strength properties of concrete mixture decreased marginally with increase in wood ash contents, but strength increased with later age. The XRD test results and chemical analysis of WA showed that it contains amorphous silica and thus can be used as cement replacing material. Through the analysis of results obtained in this study, it was concluded that WA could be blended with cement without adversely affecting the strength properties of concrete. Also using a new statistical theory of the Support Vector Machine (SVM, strength parameters were predicted by developing a suitable model and as a result, the application of soft computing in structural engineering has been successfully presented in this research paper.

  4. Predicting hand function in older adults: evaluations of grip strength, arm curl strength, and manual dexterity.

    Science.gov (United States)

    Liu, Chiung-Ju; Marie, Deana; Fredrick, Aaron; Bertram, Jessica; Utley, Kristen; Fess, Elaine Ewing

    2017-08-01

    Hand function is critical for independence in activities of daily living for older adults. The purpose of this study was to examine how grip strength, arm curl strength, and manual dexterous coordination contributed to time-based versus self-report assessment of hand function in community-dwelling older adults. Adults aged ≥60 years without low vision or neurological disorders were recruited. Purdue Pegboard Test, Jamar hand dynamometer, 30-second arm curl test, Jebsen-Taylor Hand Function Test, and the Late-Life Function and Disability Instrument were administered to assess manual dexterous coordination, grip strength, arm curl strength, time-based hand function, and self-report of hand function, respectively. Eighty-four adults (mean age = 72 years) completed the study. Hierarchical multiple regressions show that older adults with better arm curl strength (β = -.25, p function test. In comparison, older adults with better grip strength (β = .40, p function. The relationship between grip strength and hand function may be test-specific. Grip strength becomes a significant factor when the test requires grip strength to successfully complete the test tasks. Arm curl strength independently contributed to hand function in both time-based and self-report assessments, indicating that strength of extrinsic muscles of the hand are essential for hand function.

  5. Predicting bending strength of fire-retardant-treated plywood from screw-withdrawal tests

    Science.gov (United States)

    J. E. Winandy; P. K. Lebow; W. Nelson

    This report describes the development of a test method and predictive model to estimate the residual bending strength of fire-retardant-treated plywood roof sheathing from measurement of screw-withdrawal force. The preferred test methodology is described in detail. Models were developed to predict loss in mean and lower prediction bounds for plywood bending strength as...

  6. Prediction of potential compressive strength of Portland clinker from its mineralogy

    DEFF Research Database (Denmark)

    Svinning, K.; Høskuldsson, Agnar; Justnes, H.

    2010-01-01

    Based on a statistical model first applied for prediction of compressive strength up to 28 d from the microstructure of Portland cement, potential compressive strength of clinker has been predicted from its mineralogy. The prediction model was evaluated by partial least squares regression...

  7. Predicting the Compressive Strength of Concretes Made with ...

    African Journals Online (AJOL)

    Cases of collapsed buildings and structures are prevalent in Nigeria. In most of these cases the cause of the collapse could be traced to the strength of the construction materials, mainly concrete. Secondly, experimental determination of the strength of concrete materials used in buildings and structures is quite expensive ...

  8. Does muscle strength predict future musculoskeletal disorders and sickness absence?

    DEFF Research Database (Denmark)

    Faber, A; Sell, L; Hansen, J V

    2012-01-01

    High muscle strength is considered relevant for preventing musculoskeletal disorders and long-term sickness absence. However, prospective studies on the association between muscle strength and future musculoskeletal disorders and long-term sickness absence are few and show contrasting results....

  9. predicting the compressive strength of concretes made with granite

    African Journals Online (AJOL)

    2013-03-01

    Mar 1, 2013 ... computational model based on artificial neural networks for the determination of the compressive strength of concrete ... Strength being the most important property of con- ... to cut corners use low quality concrete materials in .... manner of operation of natural neurons in the human body. ... the output ai.

  10. On the performance of voting systems in spatial voting simulations

    NARCIS (Netherlands)

    Negriu, A.; Piatecki, C.

    2012-01-01

    We study the performance of voting systems in terms of minimizing the overall social disutility of making a collective choice in an univariate voting space with ideological voting and perfect information. In order to obtain a distribution of the performance indicator for each of the 12 systems

  11. The theoretical tensile strength of fcc crystals predicted from shear strength calculations

    International Nuclear Information System (INIS)

    Cerny, M; Pokluda, J

    2009-01-01

    This work presents a simple way of estimating uniaxial tensile strength on the basis of theoretical shear strength calculations, taking into account its dependence on a superimposed normal stress. The presented procedure enables us to avoid complicated and time-consuming analyses of elastic stability of crystals under tensile loading. The atomistic simulations of coupled shear and tensile deformations in cubic crystals are performed using first principles computational code based on pseudo-potentials and the plane wave basis set. Six fcc crystals are subjected to shear deformations in convenient slip systems and a special relaxation procedure controls the stress tensor. The obtained dependence of the ideal shear strength on the normal tensile stress seems to be almost linearly decreasing for all investigated crystals. Taking these results into account, the uniaxial tensile strength values in three crystallographic directions were evaluated by assuming a collapse of the weakest shear system. Calculated strengths for and loading were found to be mostly lower than previously calculated stresses related to tensile instability but rather close to those obtained by means of the shear instability analysis. On the other hand, the strengths for loading almost match the stresses related to tensile instability.

  12. the response prediction of the flexural strength of concrete made

    African Journals Online (AJOL)

    COMPAQ

    2013-07-02

    Jul 2, 2013 ... Using these aggregates, sixty concrete beams of dimensions 600 mm X 150mm X 150 mm were made, .... The sieving was performed by a sieve shaker. .... Table 3a: Regression Analysis of the Flexural Strength Tests Results.

  13. Prediction of the strength of concrete radiation shielding based on LS-SVM

    International Nuclear Information System (INIS)

    Juncai, Xu; Qingwen, Ren; Zhenzhong, Shen

    2015-01-01

    Highlights: • LS-SVM was introduced for prediction of the strength of RSC. • A model for prediction of the strength of RSC was implemented. • The grid search algorithm was used to optimize the parameters of the LS-SVM. • The performance of LS-SVM in predicting the strength of RSC was evaluated. - Abstract: Radiation-shielding concrete (RSC) and conventional concrete differ in strength because of their distinct constituents. Predicting the strength of RSC with different constituents plays a vital role in radiation shielding (RS) engineering design. In this study, a model to predict the strength of RSC is established using a least squares-support vector machine (LS-SVM) through grid search algorithm. The algorithm is used to optimize the parameters of the LS-SVM on the basis of traditional prediction methods for conventional concrete. The predicted results of the LS-SVM model are compared with the experimental data. The results of the prediction are stable and consistent with the experimental results. In addition, the studied parameters exhibit significant effects on the simulation results. Therefore, the proposed method can be applied in predicting the strength of RSC, and the predicted results can be adopted as an important reference for RS engineering design

  14. Does Economic Education Make a Difference in Congress? How Economics Majors Vote on Trade

    Science.gov (United States)

    O'Roark, J. Brian

    2012-01-01

    The author of this article expands the background theory of voting to incorporate the undergraduate majors of members of Congress. Examining nine votes on trade across the 109th and 110th Congresses reveals that economics majors are the only category of college major to vote in favor of free trade in a predictable way. Controls for a variety of…

  15. Ethereum blockchain for electronic voting

    OpenAIRE

    Kairys, Lukas

    2017-01-01

    Electronic voting is very interesting challenge and there is no reliable and safe solution developed yet. This thesis goal is to analyse decentralised distributed ledger (blockchain) application for electronic remote voting. Ethereum blockchain and smart contracts enables creation of secure and reliable solution for e-voting.

  16. Quality monitored distributed voting system

    Science.gov (United States)

    Skogmo, David

    1997-01-01

    A quality monitoring system can detect certain system faults and fraud attempts in a distributed voting system. The system uses decoy voters to cast predetermined check ballots. Absent check ballots can indicate system faults. Altered check ballots can indicate attempts at counterfeiting votes. The system can also cast check ballots at predetermined times to provide another check on the distributed voting system.

  17. Vote. Election Program.

    Science.gov (United States)

    Illinois State Board of Education, Springfield.

    This election-education program is designed to help develop an informed electorate and to instill in future voters an appreciation of the importance of the right to vote. It provides a framework for discussions of the electoral process and gives students an opportunity to face the responsibilities and challenges associated with citizenship and…

  18. Linear Logical Voting Protocols

    DEFF Research Database (Denmark)

    DeYoung, Henry; Schürmann, Carsten

    2012-01-01

    Current approaches to electronic implementations of voting protocols involve translating legal text to source code of an imperative programming language. Because the gap between legal text and source code is very large, it is difficult to trust that the program meets its legal specification. In r...

  19. Voting Experiences I

    DEFF Research Database (Denmark)

    Jydebjerg, Camilla; Jakobsen, Tina Mou

    From 2008 to 2010, an EU-project ''My opinion my vote – MOTE'' is implemented. The aim of the project is to increase the political participation among people with learning disabilities. A qualitative interview survey of three rounds among 20 persons with learning disabilities and professional...

  20. Personality and Attitude Determinants of Voting Behavior

    Science.gov (United States)

    Brigham, John C.; Severy, Lawrence J.

    1976-01-01

    Measures of racial attitude, conceptual style, commitment to candidate and electoral process, social-political evaluation, and voting intentions, were administered to white college students (N=320) before the 1972 Presidential election. Prediction of behavioral intentions becomes more powerful as attitudinal measures are made more directly…

  1. prediction of flexural strength of chikoko pozzolana blended cement

    African Journals Online (AJOL)

    user

    optimize the flexural strength of chikoko pozzolana blended cement concrete using Osadebe's regression function. The ... such as cement [1-3]. Nigeria is blessed with abundance of local building and construction materials such as stones, sand, laterite and timber. However ...... Soil Stabilization”, International Journal of.

  2. Voting systems for environmental decisions.

    Science.gov (United States)

    Burgman, Mark A; Regan, Helen M; Maguire, Lynn A; Colyvan, Mark; Justus, James; Martin, Tara G; Rothley, Kris

    2014-04-01

    Voting systems aggregate preferences efficiently and are often used for deciding conservation priorities. Desirable characteristics of voting systems include transitivity, completeness, and Pareto optimality, among others. Voting systems that are common and potentially useful for environmental decision making include simple majority, approval, and preferential voting. Unfortunately, no voting system can guarantee an outcome, while also satisfying a range of very reasonable performance criteria. Furthermore, voting methods may be manipulated by decision makers and strategic voters if they have knowledge of the voting patterns and alliances of others in the voting populations. The difficult properties of voting systems arise in routine decision making when there are multiple criteria and management alternatives. Because each method has flaws, we do not endorse one method. Instead, we urge organizers to be transparent about the properties of proposed voting systems and to offer participants the opportunity to approve the voting system as part of the ground rules for operation of a group. © 2014 The Authors. Conservation Biology published by Wiley Periodicals, Inc., on behalf of the Society for Conservation Biology.

  3. Occupational-Specific Strength Predicts Astronaut-Related Task Performance in a Weighted Suit.

    Science.gov (United States)

    Taylor, Andrew; Kotarsky, Christopher J; Bond, Colin W; Hackney, Kyle J

    2018-01-01

    Future space missions beyond low Earth orbit will require deconditioned astronauts to perform occupationally relevant tasks within a planetary spacesuit. The prediction of time-to-completion (TTC) of astronaut tasks will be critical for crew safety, autonomous operations, and mission success. This exploratory study determined if the addition of task-specific strength testing to current standard lower body testing would enhance the prediction of TTC in a 1-G test battery. Eight healthy participants completed NASA lower body strength tests, occupationally specific strength tests, and performed six task simulations (hand drilling, construction wrenching, incline walking, collecting weighted samples, and dragging an unresponsive crewmember to safety) in a 48-kg weighted suit. The TTC for each task was recorded and summed to obtain a total TTC for the test battery. Linear regression was used to predict total TTC with two models: 1) NASA lower body strength tests; and 2) NASA lower body strength tests + occupationally specific strength tests. Total TTC of the test battery ranged from 20.2-44.5 min. The lower body strength test alone accounted for 61% of the variability in total TTC. The addition of hand drilling and wrenching strength tests accounted for 99% of the variability in total TTC. Adding occupationally specific strength tests (hand drilling and wrenching) to standard lower body strength tests successfully predicted total TTC in a performance test battery within a weighted suit. Future research should couple these strength tests with higher fidelity task simulations to determine the utility and efficacy of task performance prediction.Taylor A, Kotarsky CJ, Bond CW, Hackney KJ. Occupational-specific strength predicts astronaut-related task performance in a weighted suit. Aerosp Med Hum Perform. 2018; 89(1):58-62.

  4. Electronic Universal Vote

    Directory of Open Access Journals (Sweden)

    Cristian USCATU

    2008-01-01

    Full Text Available In the days of informational society everything is going online. Most aspects of our lives have online components. Since democracy is a big issue, it could not escape this trend. Governments themselves are moving to the online environment for the purpose of improving their internal efficiency and their availability to the citizens, businesses and other parties interested. Since governments are the result of elections, elections have also been touched by the electronic fever. New electronic voting solutions arise and each one brings new debates with many arguments in their favor and against them. Accessibility and ease of use leads the arguments in favor of electronic voting over the internet, while fear of fraud is the main reason people are avoiding electronics and clinging on classic paper ballots.

  5. Frugal Bribery in Voting

    OpenAIRE

    Dey, Palash; Misra, Neeldhara; Narahari, Y.

    2015-01-01

    Bribery in elections is an important problem in computational social choice theory. However, bribery with money is often illegal in elections. Motivated by this, we introduce the notion of frugal bribery and formulate two new pertinent computational problems which we call Frugal-bribery and Frugal- $bribery to capture bribery without money in elections. In the proposed model, the briber is frugal in nature and this is captured by her inability to bribe votes of a certain kind, namely, non-vul...

  6. Improving Remote Voting Security with CodeVoting

    Science.gov (United States)

    Joaquim, Rui; Ribeiro, Carlos; Ferreira, Paulo

    One of the major problems that prevents the spread of elections with the possibility of remote voting over electronic networks, also called Internet Voting, is the use of unreliable client platforms, such as the voter's computer and the Internet infrastructure connecting it to the election server. A computer connected to the Internet is exposed to viruses, worms, Trojans, spyware, malware and other threats that can compromise the election's integrity. For instance, it is possible to write a virus that changes the voter's vote to a predetermined vote on election's day. Another possible attack is the creation of a fake election web site where the voter uses a malicious vote program on the web site that manipulates the voter's vote (phishing/pharming attack). Such attacks may not disturb the election protocol, therefore can remain undetected in the eyes of the election auditors.

  7. Voting Experiments: Measuring Vulnerability of Voting Procedures to Manipulation

    OpenAIRE

    Palguta, Jan

    2011-01-01

    A minimal reduction in strategic voter’s knowledge about other voters’ voting patterns severely limits her ability to strategically manipulate the voting outcome. In this paper I relax the implicit assumption made in the Gibbard-Satterthwaite’s impossibility theorem about strategic voter‘s complete information about all other voters’ preference profiles. Via a series of computation-based simulations I find that vulnerability to strategic voting is decreasing in the number of voters and increa...

  8. Voting experiments: Bandwagon voting or false-consensus effect?

    OpenAIRE

    Ivo Bischoff; Henrik Egbert

    2008-01-01

    In an experiment designed to test for expressive voting, Tyran (JPubEc 2004) found a strong positive correlation between the participants' approval for a proposal to donate money for charity and their expected approval rate for fellow voters. This phenomenon can be due to bandwagon voting or a false consensus effect. The social science literature reports both effects for voting decisions. Replicating Tyran's experiment and adding new treatments, we provide evidence for a false consensus effec...

  9. Residual Strength Prediction of Debond Damaged Sandwich Panels

    DEFF Research Database (Denmark)

    Berggreen, Carl Christian

    followed by debond growth. The developed theoretical procedure is an extension of the Crack Surface Displacement method, here denoted the Crack Surface Displacement Extrapolation method. The method is first developed in 2D and then extended to 3D by use of a number of realistic assumptions...... for the considered configurations. Comparison of the theoretical predictions to two series of large-scale experiments with loadings (uniform and non-uniform in-plane compression) comparable with real life loading scenarios for sandwich ships shows that the model is indeed able to predict the failure modes...

  10. Mathematical Model for Prediction of Flexural Strength of Mound ...

    African Journals Online (AJOL)

    The mound soil-cement blended proportions were mathematically optimized by using scheffe's approach and the optimization model developed. A computer program predicting the mix proportion for the model was written. The optimal proportion by the program was used prepare beam samples measuring 150mm x 150mm ...

  11. Cellular automata with voting rule

    International Nuclear Information System (INIS)

    Makowiec, D.

    1996-01-01

    The chosen local interaction - the voting (majority) rule applied to the square lattice is known to cause the non ergodic cellular automata behaviour. Presented computer simulation results verify two cases of non ergodicity. The first one is implicated by the noise introduced to the local interactions and the second one follows properties of the initial lattice configuration selected at random. For the simplified voting rule - non symmetric voting, the critical behaviour has been explained rigorously. (author)

  12. Vote par sondage uniforme incorruptible

    OpenAIRE

    Blanchard , Nicolas

    2016-01-01

    International audience; Introduit en 2012 par David Chaum, le vote par sondage uniforme (random-sample voting) est un protocole de vote basé sur un choix d'une sous-population représentative , permettant de limiter les coûts tout en ayant de nombreux avantages, principalement lorsqu'il est couplé a d'autres techniques comme ThreeBallot. Nous analysons un problème de corruptibilité potentielle où les votants peuvent vendre leur vote au plus offrant et proposons une variation du protocole reméd...

  13. Peer Effects in Legislative Voting

    DEFF Research Database (Denmark)

    Harmon, Nikolaj Arpe; Fisman, Raymond; Kamenica, Emir

    2016-01-01

    variation in seating across the two venues of the Parliament (Brussels and Strasbourg), we show that this effect reflects persistent peer influence: a pair of MEPs who have sat together in the past are less likely to disagree on a vote even if they do not sit together during that particular vote.......Abstract We exploit seating rules in the European Parliament to estimate causal peer effects in legislative voting. We find that sitting next to each other reduces by 13 percent the likelihood that two Members of the European Parliament (MEPs) from the same party differ in their vote. Using...

  14. Retiring from Voting

    DEFF Research Database (Denmark)

    Bhatti, Yosef; Hansen, Kasper Møller

    2012-01-01

    elections, we show how turnout for seniors falls more than 30 percentage points between ages 60 and 90. Though declining health matters, it is far from the entire story. Much of the turnout decline can be explained by the disruption of social ties. Withdrawing from the labour market demobilizes people....... Seniors also tend to live alone more often than the general population, meaning that they receive less social encouragement to vote. We also look into why turnout drops faster for women than for men. Women lose their social network earlier than men. They are on average widowed and live alone at an earlier...

  15. Prediction of failure strain and burst pressure in high yield-to-tensile strength ratio linepipe

    International Nuclear Information System (INIS)

    Law, M.; Bowie, G.

    2007-01-01

    Failure pressures and strains were predicted for a number of burst tests as part of a project to explore failure strain in high yield-to-tensile strength ratio linepipe. Twenty-three methods for predicting the burst pressure and six methods of predicting the failure strain are compared with test results. Several methods were identified which gave accurate and reliable estimates of burst pressure. No method of accurately predicting the failure strain was found, though the best was noted

  16. Prediction of failure strain and burst pressure in high yield-to-tensile strength ratio linepipe

    Energy Technology Data Exchange (ETDEWEB)

    Law, M. [Institute of Materials and Engineering Science, Australian Nuclear Science and Technology Organisation (ANSTO), Lucas Heights, NSW (Australia)]. E-mail: mlx@ansto.gov.au; Bowie, G. [BlueScope Steel Ltd., Level 11, 120 Collins St, Melbourne, Victoria 3000 (Australia)

    2007-08-15

    Failure pressures and strains were predicted for a number of burst tests as part of a project to explore failure strain in high yield-to-tensile strength ratio linepipe. Twenty-three methods for predicting the burst pressure and six methods of predicting the failure strain are compared with test results. Several methods were identified which gave accurate and reliable estimates of burst pressure. No method of accurately predicting the failure strain was found, though the best was noted.

  17. In vitro/in silico investigation of failure criteria to predict flexural strength of composite resins.

    Science.gov (United States)

    Yamaguchi, Satoshi; Mehdawi, Idris Mohamed; Sakai, Takahiko; Abe, Tomohiro; Inoue, Sayuri; Imazato, Satoshi

    2018-01-30

    The aim of this study was to investigate a failure criterion to predict flexural strengths of composite resins (CR) by three-dimensional finite element analysis (3D-FEA). Models of flexural strength for test specimens of CR and rods comprising a three-point loading were designed. Calculation of Young's moduli and Poisson's ratios of CR were conducted using a modified McGee-McCullough model. Using the experimental CR, flexural strengths were measured by three-point bending tests with crosshead speed 1.0 mm/min and compared with the values determined by in silico analysis. The flexural strengths of experimental CR calculated using the maximum principal strain significantly correlated with those obtained in silico amongst the four types of failure criteria applied. The in silico analytical model established in this study was found to be effective to predict the flexural strengths of CR incorporating various silica filler contents by maximum principal strain.

  18. Strength of Temporal White Matter Pathways Predicts Semantic Learning.

    Science.gov (United States)

    Ripollés, Pablo; Biel, Davina; Peñaloza, Claudia; Kaufmann, Jörn; Marco-Pallarés, Josep; Noesselt, Toemme; Rodríguez-Fornells, Antoni

    2017-11-15

    Learning the associations between words and meanings is a fundamental human ability. Although the language network is cortically well defined, the role of the white matter pathways supporting novel word-to-meaning mappings remains unclear. Here, by using contextual and cross-situational word learning, we tested whether learning the meaning of a new word is related to the integrity of the language-related white matter pathways in 40 adults (18 women). The arcuate, uncinate, inferior-fronto-occipital and inferior-longitudinal fasciculi were virtually dissected using manual and automatic deterministic fiber tracking. Critically, the automatic method allowed assessing the white matter microstructure along the tract. Results demonstrate that the microstructural properties of the left inferior-longitudinal fasciculus predict contextual learning, whereas the left uncinate was associated with cross-situational learning. In addition, we identified regions of special importance within these pathways: the posterior middle temporal gyrus, thought to serve as a lexical interface and specifically related to contextual learning; the anterior temporal lobe, known to be an amodal hub for semantic processing and related to cross-situational learning; and the white matter near the hippocampus, a structure fundamental for the initial stages of new-word learning and, remarkably, related to both types of word learning. No significant associations were found for the inferior-fronto-occipital fasciculus or the arcuate. While previous results suggest that learning new phonological word forms is mediated by the arcuate fasciculus, these findings show that the temporal pathways are the crucial neural substrate supporting one of the most striking human abilities: our capacity to identify correct associations between words and meanings under referential indeterminacy. SIGNIFICANCE STATEMENT The language-processing network is cortically (i.e., gray matter) well defined. However, the role of the

  19. An efficient numerical target strength prediction model: Validation against analysis solutions

    NARCIS (Netherlands)

    Fillinger, L.; Nijhof, M.J.J.; Jong, C.A.F. de

    2014-01-01

    A decade ago, TNO developed RASP (Rapid Acoustic Signature Prediction), a numerical model for the prediction of the target strength of immersed underwater objects. The model is based on Kirchhoff diffraction theory. It is currently being improved to model refraction, angle dependent reflection and

  20. One Share–One Vote

    DEFF Research Database (Denmark)

    Eklund, Johan Erik; Poulsen, Thomas

    2014-01-01

    Many European companies use some type of control-enhancing mechanism, such as dual class shares or a pyramid ownership structure. Such mechanisms cause deviations from the one share–one vote principle, allocating more voting rights than cash flow rights to some shares and, in turn, providing...

  1. Statistical approach to predict compressive strength of high workability slag-cement mortars

    International Nuclear Information System (INIS)

    Memon, N.A.; Memon, N.A.; Sumadi, S.R.

    2009-01-01

    This paper reports an attempt made to develop empirical expressions to estimate/ predict the compressive strength of high workability slag-cement mortars. Experimental data of 54 mix mortars were used. The mortars were prepared with slag as cement replacement of the order of 0, 50 and 60%. The flow (workability) was maintained at 136+-3%. The numerical and statistical analysis was performed by using database computer software Microsoft Office Excel 2003. Three empirical mathematical models were developed to estimate/predict 28 days compressive strength of high workability slag cement-mortars with 0, 50 and 60% slag which predict the values accurate between 97 and 98%. Finally a generalized empirical mathematical model was proposed which can predict 28 days compressive strength of high workability mortars up to degree of accuracy 95%. (author)

  2. 2008 Election Administration and Voting Survey

    Data.gov (United States)

    Election Assistance Commission — This dataset contains data about domestic absentee voting, provisional balloting, poll books, polling place, precincts, poll workers, and voting technology used in...

  3. 2010 Election Administration and Voting Survey

    Data.gov (United States)

    Election Assistance Commission — This dataset contains data about domestic absentee voting, provisional balloting, poll books, polling place, precincts, poll workers, and voting technology used in...

  4. Prediction of Rowing Ergometer Performance from Functional Anaerobic Power, Strength and Anthropometric Components

    Directory of Open Access Journals (Sweden)

    Akça Firat

    2014-07-01

    Full Text Available The aim of this research was to develop different regression models to predict 2000 m rowing ergometer performance with the use of anthropometric, anaerobic and strength variables and to determine how precisely the prediction models constituted by different variables predict performance, when conducted together in the same equation or individually. 38 male collegiate rowers (20.17 ± 1.22 years participated in this study. Anthropometric, strength, 2000 m maximal rowing ergometer and rowing anaerobic power tests were applied. Multiple linear regression procedures were employed in SPSS 16 to constitute five different regression formulas using a different group of variables. The reliability of the regression models was expressed by R2 and the standard error of estimate (SEE. Relationships of all parameters with performance were investigated through Pearson correlation coefficients. The prediction model using a combination of anaerobic, strength and anthropometric variables was found to be the most reliable equation to predict 2000 m rowing ergometer performance (R2 = 0.92, SEE= 3.11 s. Besides, the equation that used rowing anaerobic and strength test results also provided a reliable prediction (R2 = 0.85, SEE= 4.27 s. As a conclusion, it seems clear that physiological determinants which are affected by anaerobic energy pathways should also get involved in the processes and models used for performance prediction and talent identification in rowing.

  5. Prediction on flexural strength of encased composite beam with cold-formed steel section

    Science.gov (United States)

    Khadavi, Tahir, M. M.

    2017-11-01

    A flexural strength of composite beam designed as boxed shaped section comprised of lipped C-channel of cold-formed steel (CFS) facing each other with reinforcement bars is proposed in this paper. The boxed shaped is kept restrained in position by a profiled metal decking installed on top of the beam to form a slab system. This profiled decking slab is cast by using self-compacting concrete where the concrete is in compression when load is applied to the beam. Reinforcement bars are used as shear connector between slab and CFS as beam. A numerical analysis method proposed by EC4 is used to predict the flexural strength of the proposed composite beam. It was assumed that elasto-plastic behaviour is developed in the cross -sectional of the proposed beam. The calculated predicted flexural strength of the proposed beam shows reasonable flexural strength for cold-formed composite beam.

  6. Compressive Strength Prediction of Square Concrete Columns Retrofitted with External Steel Collars

    Directory of Open Access Journals (Sweden)

    Pudjisuryadi, P.

    2013-01-01

    Full Text Available Transverse confining stress in concrete members, commonly provided by transverse reinforcement, has been recognized to enhance strength and ductility. Nowadays, the confining method has been further developed to external confinement approach. This type of confinement can be used for retrofitting existing concrete columns. Many external confining techniques have been proven to be successful in retrofitting circular columns. However, for square or rectangular columns, providing effective confining stress by external retrofitting method is not a simple task due to high stress concentration at column’s corners. This paper proposes an analytical model to predict the peak strength of square concrete columns confined by external steel collars. Comparison with the experimental results showed that the model can predict the peak strength reasonably well. However, it should be noted that relatively larger amount of steel is needed to achieve comparable column strength enhancement when it is compared with those of conve tional internally-confined columns.

  7. Voting for a Career

    DEFF Research Database (Denmark)

    Egerod, Benjamin Carl Krag

    effects depending on the senator's career ambitions. While retiring senators are no longer accountable to anyone but themselves, revolving door politicians will be accountable to their future employers, because they depend on them for post-elective employment. During their final Congress, this should lead......I investigate how the revolving door affects voting in the Senate. The literature on final-term problems suggests that senators should become more extreme before they leave office, because they no longer are accountable to voters. Lack of electoral accountability could, however, have different...... revolving door senators to moderate themselves, while retiring ones should grow more partisan. Using data on post-elective career trajectories from 102nd to the 113th Senate, I present fixed effects estimates that back this claim. I show that the effect is driven by senators, who choose to resign...

  8. Formulating the strength factor α for improved predictability of radiation hardening

    Energy Technology Data Exchange (ETDEWEB)

    Tan, L., E-mail: tanl@ornl.gov; Busby, J.T.

    2015-10-15

    Analytical equations were developed to calculate the strength factors of precipitates, Frank loops, and cavities in austenitic alloys, which strongly depend on barrier type, size, geometry and density, as well as temperature. Calculated strength factors were successfully used to estimate radiation hardening using the broadly employed dispersed barrier-hardening model, leading to good agreement with experimentally measured hardening in neutron-irradiated type 304 and 316 stainless steel variants. The formulated strength factor provides a route for more reliable hardening predictions and can be easily incorporated into component simulations and design.

  9. Statistical analysis of Nomao customer votes for spots of France

    Science.gov (United States)

    Pálovics, Róbert; Daróczy, Bálint; Benczúr, András; Pap, Julia; Ermann, Leonardo; Phan, Samuel; Chepelianskii, Alexei D.; Shepelyansky, Dima L.

    2015-08-01

    We investigate the statistical properties of votes of customers for spots of France collected by the startup company Nomao. The frequencies of votes per spot and per customer are characterized by a power law distribution which remains stable on a time scale of a decade when the number of votes is varied by almost two orders of magnitude. Using the computer science methods we explore the spectrum and the eigenvalues of a matrix containing user ratings to geolocalized items. Eigenvalues nicely map to large towns and regions but show certain level of instability as we modify the interpretation of the underlying matrix. We evaluate imputation strategies that provide improved prediction performance by reaching geographically smooth eigenvectors. We point on possible links between distribution of votes and the phenomenon of self-organized criticality.

  10. One Share-One Vote

    DEFF Research Database (Denmark)

    Poulsen, Thomas; Eklund, Johan E.

    Shares with more voting rights than cash flow rights provide their owners with a disproportional influence that is often found to destroy the value of outside equity. This is taken as evidence of discretionary use of power. However, concentration of power does not necessarily result from control...... enhancing mechanisms; it could also be that some shareholders retain a large block in a one share-one vote structure. In this paper, we develop a methodology to disentangle disproportionality, which allows us to test the effect of deviations from one share-one vote more precisely. Our empirical findings add...

  11. Improving Remote Voting Security with CodeVoting

    OpenAIRE

    Joaquim, Rui; Ribeiro, Carlos; Ferreira, Paulo

    2010-01-01

    One of the major problems that prevents the spread of elections with the possibility of remote voting over electronic networks, also called Internet Voting, is the use of unreliable client platforms, such as the voter’s computer and the Internet infrastructure connecting it to the election server. A computer connected to the Internet is exposed to viruses, worms, Trojans, spyware, malware and other threats that can compromise the election’s integrity. For instance, it is pos...

  12. Handgrip strength predicts functional decline at discharge in hospitalized male elderly: a hospital cohort study.

    Directory of Open Access Journals (Sweden)

    Carmen García-Peña

    Full Text Available Functional decline after hospitalization is a common adverse outcome in elderly. An easy to use, reproducible and accurate tool to identify those at risk would aid focusing interventions in those at higher risk. Handgrip strength has been shown to predict adverse outcomes in other settings. The aim of this study was to determine if handgrip strength measured upon admission to an acute care facility would predict functional decline (either incident or worsening of preexisting at discharge among older Mexican, stratified by gender. In addition, cutoff points as a function of specificity would be determined. A cohort study was conducted in two hospitals in Mexico City. The primary endpoint was functional decline on discharge, defined as a 30-point reduction in the Barthel Index score from that of the baseline score. Handgrip strength along with other variables was measured at initial assessment, including: instrumental activities of daily living, cognition, depressive symptoms, delirium, hospitalization length and quality of life. All analyses were stratified by gender. Logistic regression to test independent association between handgrip strength and functional decline was performed, along with estimation of handgrip strength test values (specificity, sensitivity, area under the curve, etc.. A total of 223 patients admitted to an acute care facility between 2007 and 2009 were recruited. A total of 55 patients (24.7% had functional decline, 23.46% in male and 25.6% in women. Multivariate analysis showed that only males with low handgrip strength had an increased risk of functional decline at discharge (OR 0.88, 95% CI 0.79-0.98, p = 0.01, with a specificity of 91.3% and a cutoff point of 20.65 kg for handgrip strength. Females had not a significant association between handgrip strength and functional decline. Measurement of handgrip strength on admission to acute care facilities may identify male elderly patients at risk of having functional decline

  13. Handgrip Strength Predicts Functional Decline at Discharge in Hospitalized Male Elderly: A Hospital Cohort Study

    Science.gov (United States)

    García-Peña, Carmen; García-Fabela, Luis C.; Gutiérrez-Robledo, Luis M.; García-González, Jose J.; Arango-Lopera, Victoria E.; Pérez-Zepeda, Mario U.

    2013-01-01

    Functional decline after hospitalization is a common adverse outcome in elderly. An easy to use, reproducible and accurate tool to identify those at risk would aid focusing interventions in those at higher risk. Handgrip strength has been shown to predict adverse outcomes in other settings. The aim of this study was to determine if handgrip strength measured upon admission to an acute care facility would predict functional decline (either incident or worsening of preexisting) at discharge among older Mexican, stratified by gender. In addition, cutoff points as a function of specificity would be determined. A cohort study was conducted in two hospitals in Mexico City. The primary endpoint was functional decline on discharge, defined as a 30-point reduction in the Barthel Index score from that of the baseline score. Handgrip strength along with other variables was measured at initial assessment, including: instrumental activities of daily living, cognition, depressive symptoms, delirium, hospitalization length and quality of life. All analyses were stratified by gender. Logistic regression to test independent association between handgrip strength and functional decline was performed, along with estimation of handgrip strength test values (specificity, sensitivity, area under the curve, etc.). A total of 223 patients admitted to an acute care facility between 2007 and 2009 were recruited. A total of 55 patients (24.7%) had functional decline, 23.46% in male and 25.6% in women. Multivariate analysis showed that only males with low handgrip strength had an increased risk of functional decline at discharge (OR 0.88, 95% CI 0.79–0.98, p = 0.01), with a specificity of 91.3% and a cutoff point of 20.65 kg for handgrip strength. Females had not a significant association between handgrip strength and functional decline. Measurement of handgrip strength on admission to acute care facilities may identify male elderly patients at risk of having functional decline, and

  14. Prediction of concrete compressive strength considering humidity and temperature in the construction of nuclear power plants

    Energy Technology Data Exchange (ETDEWEB)

    Kwon, Seung Hee; Jang, Kyung Pil [Department of Civil and Environmental Engineering, Myongji University, Yongin (Korea, Republic of); Bang, Jin-Wook [Department of Civil Engineering, Chungnam National University, Daejeon (Korea, Republic of); Lee, Jang Hwa [Structural Engineering Research Division, Korea Institute of Construction Technology (Korea, Republic of); Kim, Yun Yong, E-mail: yunkim@cnu.ac.kr [Structural Engineering Research Division, Korea Institute of Construction Technology (Korea, Republic of)

    2014-08-15

    Highlights: • Compressive strength tests for three concrete mixes were performed. • The parameters of the humidity-adjusted maturity function were determined. • Strength can be predicted considering temperature and relative humidity. - Abstract: This study proposes a method for predicting compressive strength developments in the early ages of concretes used in the construction of nuclear power plants. Three representative mixes with strengths of 6000 psi (41.4 MPa), 4500 psi (31.0 MPa), and 4000 psi (27.6 MPa) were selected and tested under various curing conditions; the temperature ranged from 10 to 40 °C, and the relative humidity from 40 to 100%. In order to consider not only the effect of the temperature but also that of humidity, an existing model, i.e. the humidity-adjusted maturity function, was adopted and the parameters used in the function were determined from the test results. A series of tests were also performed in the curing condition of a variable temperature and constant humidity, and a comparison between the measured and predicted strengths were made for the verification.

  15. Voting Systems for Environmental Decisions

    Science.gov (United States)

    BURGMAN, MARK A; REGAN, HELEN M; MAGUIRE, LYNN A; COLYVAN, MARK; JUSTUS, JAMES; MARTIN, TARA G; ROTHLEY, KRIS

    2014-01-01

    Voting systems aggregate preferences efficiently and are often used for deciding conservation priorities. Desirable characteristics of voting systems include transitivity, completeness, and Pareto optimality, among others. Voting systems that are common and potentially useful for environmental decision making include simple majority, approval, and preferential voting. Unfortunately, no voting system can guarantee an outcome, while also satisfying a range of very reasonable performance criteria. Furthermore, voting methods may be manipulated by decision makers and strategic voters if they have knowledge of the voting patterns and alliances of others in the voting populations. The difficult properties of voting systems arise in routine decision making when there are multiple criteria and management alternatives. Because each method has flaws, we do not endorse one method. Instead, we urge organizers to be transparent about the properties of proposed voting systems and to offer participants the opportunity to approve the voting system as part of the ground rules for operation of a group. Sistemas de Votación para Decisiones Ambientales Resumen Los sistemas de votación agregan preferencias eficientemente y muy seguido se usan para decidir prioridades de conservación. Las características deseables de un sistema de votación incluyen la transitividad, lo completo que sean y la optimalidad de Pareto, entre otras. Los sistemas de votación que son comunes y potencialmente útiles para la toma de decisiones ambientales incluyen simple mayoría, aprobación y votación preferencial. Desafortunadamente, ningún sistema de votación puede garantizar un resultado y a la vez satisfacer un rango de criterios de desempeño muy razonable. Además, los métodos de votación pueden manipularse por los que toman las decisiones y votantes estratégicos si tienen el conocimiento de los patrones de votación y de las alianzas entre miembros dentro de las poblaciones votantes. Las

  16. Prediction of Splitting Tensile Strength of Concrete Containing Zeolite and Diatomite by ANN

    Directory of Open Access Journals (Sweden)

    E. Gülbandılar

    2017-01-01

    Full Text Available This study was designed to investigate with two different artificial neural network (ANN prediction model for the behavior of concrete containing zeolite and diatomite. For purpose of constructing this model, 7 different mixes with 63 specimens of the 28, 56 and 90 days splitting tensile strength experimental results of concrete containing zeolite, diatomite, both zeolite and diatomite used in training and testing for ANN systems was gathered from the tests. The data used in the ANN models are arranged in a format of seven input parameters that cover the age of samples, Portland cement, zeolite, diatomite, aggregate, water and hyper plasticizer and an output parameter which is splitting tensile strength of concrete. In the model, the training and testing results have shown that two different ANN systems have strong potential as a feasible tool for predicting 28, 56 and 90 days the splitting tensile strength of concrete containing zeolite and diatomite.

  17. Novel Predictive Model of the Debonding Strength for Masonry Members Retrofitted with FRP

    Directory of Open Access Journals (Sweden)

    Iman Mansouri

    2016-11-01

    Full Text Available Strengthening of masonry members using externally bonded (EB fiber-reinforced polymer (FRP composites has become a famous structural strengthening method over the past decade due to the popular advantages of FRP composites, including their high strength-to-weight ratio and excellent corrosion resistance. In this study, gene expression programming (GEP, as a novel tool, has been used to predict the debonding strength of retrofitted masonry members. The predictions of the new debonding resistance model, as well as several other models, are evaluated by comparing their estimates with experimental results of a large test database. The results indicate that the new model has the best efficiency among the models examined and represents an improvement to other models. The root mean square errors (RMSE of the best empirical Kashyap model in training and test data were, respectively, reduced by 51.7% and 41.3% using the GEP model in estimating debonding strength.

  18. Creep-rupture strength prediction of an epoxy composite under tension

    Czech Academy of Sciences Publication Activity Database

    Krastev, R.K.; Zachariev, G.; Hristova, J.; Minster, Jiří

    2009-01-01

    Roč. 13, č. 2 (2009), s. 207-214 ISSN 1385-2000 Institutional research plan: CEZ:AV0Z20710524 Keywords : materials testing * creep * strength prediction Subject RIV: JI - Composite Materials Impact factor: 1.051, year: 2009

  19. Prediction of compressive strength up to 28 days from microstructure of Portland cement

    DEFF Research Database (Denmark)

    Svinning, K.; Høskuldsson, Agnar; Justnes, H.

    2008-01-01

    represented by curves from X-ray diffraction analysis and differential thermogravimetric analysis, as well as particle size distributions. PLS gave maximum explained variance in compressive strength at 1, 2, 7 and 28 days of 93%, 90%, 79% and 67%, respectively. The high explained variance makes the prediction...

  20. The Witness-Voting System

    Science.gov (United States)

    Gerck, Ed

    We present a new, comprehensive framework to qualitatively improve election outcome trustworthiness, where voting is modeled as an information transfer process. Although voting is deterministic (all ballots are counted), information is treated stochastically using Information Theory. Error considerations, including faults, attacks, and threats by adversaries, are explicitly included. The influence of errors may be corrected to achieve an election outcome error as close to zero as desired (error-free), with a provably optimal design that is applicable to any type of voting, with or without ballots. Sixteen voting system requirements, including functional, performance, environmental and non-functional considerations, are derived and rated, meeting or exceeding current public-election requirements. The voter and the vote are unlinkable (secret ballot) although each is identifiable. The Witness-Voting System (Gerck, 2001) is extended as a conforming implementation of the provably optimal design that is error-free, transparent, simple, scalable, robust, receipt-free, universally-verifiable, 100% voter-verified, and end-to-end audited.

  1. Do Online Voting Patterns Reflect Evolved Features of Human Cognition? An Exploratory Empirical Investigation.

    Directory of Open Access Journals (Sweden)

    Maria Priestley

    Full Text Available Online votes or ratings can assist internet users in evaluating the credibility and appeal of the information which they encounter. For example, aggregator websites such as Reddit allow users to up-vote submitted content to make it more prominent, and down-vote content to make it less prominent. Here we argue that decisions over what to up- or down-vote may be guided by evolved features of human cognition. We predict that internet users should be more likely to up-vote content that others have also up-voted (social influence, content that has been submitted by particularly liked or respected users (model-based bias, content that constitutes evolutionarily salient or relevant information (content bias, and content that follows group norms and, in particular, prosocial norms. 489 respondents from the online social voting community Reddit rated the extent to which they felt different traits influenced their voting. Statistical analyses confirmed that norm-following and prosociality, as well as various content biases such as emotional content and originality, were rated as important motivators of voting. Social influence had a smaller effect than expected, while attitudes towards the submitter had little effect. This exploratory empirical investigation suggests that online voting communities can provide an important test-bed for evolutionary theories of human social information use, and that evolved features of human cognition may guide online behaviour just as it guides behaviour in the offline world.

  2. Do Online Voting Patterns Reflect Evolved Features of Human Cognition? An Exploratory Empirical Investigation.

    Science.gov (United States)

    Priestley, Maria; Mesoudi, Alex

    2015-01-01

    Online votes or ratings can assist internet users in evaluating the credibility and appeal of the information which they encounter. For example, aggregator websites such as Reddit allow users to up-vote submitted content to make it more prominent, and down-vote content to make it less prominent. Here we argue that decisions over what to up- or down-vote may be guided by evolved features of human cognition. We predict that internet users should be more likely to up-vote content that others have also up-voted (social influence), content that has been submitted by particularly liked or respected users (model-based bias), content that constitutes evolutionarily salient or relevant information (content bias), and content that follows group norms and, in particular, prosocial norms. 489 respondents from the online social voting community Reddit rated the extent to which they felt different traits influenced their voting. Statistical analyses confirmed that norm-following and prosociality, as well as various content biases such as emotional content and originality, were rated as important motivators of voting. Social influence had a smaller effect than expected, while attitudes towards the submitter had little effect. This exploratory empirical investigation suggests that online voting communities can provide an important test-bed for evolutionary theories of human social information use, and that evolved features of human cognition may guide online behaviour just as it guides behaviour in the offline world.

  3. Use of triangular membership function for prediction of compressive strength of concrete containing nanosilica

    Directory of Open Access Journals (Sweden)

    Sakshi Gupta

    2015-12-01

    Full Text Available In this paper, application of fuzzy logic technique using triangular membership function for developing models for predicting compressive strength of concrete with partial replacement of cement with nanosilica has been carried out. For this, the data have been taken from various literatures and help in optimizing the constituents available and reducing cost and efforts in studying design to develop mixes by predefining suitable range for experimenting. The use of nanostructured materials in concrete can add many benefits that are directly related to the durability of various cementitious materials, besides the fact that it is possible to reduce the quantities of cement in the composite. Successful prediction by the model indicates that fuzzy logic could be a useful modelling tool for engineers and research scientists in the area of cement and concrete. Compressive strength values of concrete can be predicted in fuzzy logic models without attempting any experiments in a quite short period of time with tiny error rates.

  4. What makes a vote, and what does a vote make?

    DEFF Research Database (Denmark)

    Dalsgaard, Steffen; Gad, Christopher

    Digitalizing electoral processes entails substantial changes to the materialities on which such processes rely, and hence to how they are practiced, organized, and, in turn, how they may be analyzed and reflected upon. As researchers in the Danish strategic research project DemTech, which...... work-in-progress we will focus on one particular ‘problem’ which emerges in light of the project and the current efforts to digitalize electoral processes. That is, the problem of how a vote is constituted and defined as such; how the ways in which a vote works are related to its (potential) material...... of 'the state', ‘citizenship' and ‘democracy’, and what it means if a vote cannot be defined as one exact ‘thing’, but instead may, simultaneously, be many things at once....

  5. Voting Varieties: Towards a Plural Sociology of Effective Voting

    Directory of Open Access Journals (Sweden)

    Willibald Sonnleitner

    2017-05-01

    Full Text Available In Mexico, the puzzling relationships between socioeconomic development and voting challenge the classical theories of modernization: in many regions the most participative territories are the poorest ones. To comprehend this contradictory geography of electoral participation, this research explores the varieties of voting in different contexts, levels and scales, focusing on diverse forms of electoral mobilization (based on community or identity; on corporatism and patronage; on psychological, social or territorial linkages; or on individual and rational choice. This invites to revisit the relations between “universal” suffrage and socio‐political inclusion and participation, on democratic contestation and representation, on governance and legitimacy. What conditions favor/inhibit free, egalitarian, autonomous and effective voting, in hybrid situations of transition from/to democratic/authoritarian regimes?

  6. An Ensemble Learning for Predicting Breakdown Field Strength of Polyimide Nanocomposite Films

    Directory of Open Access Journals (Sweden)

    Hai Guo

    2015-01-01

    Full Text Available Using the method of Stochastic Gradient Boosting, ten SMO-SVR are constructed into a strong prediction model (SGBS model that is efficient in predicting the breakdown field strength. Adopting the method of in situ polymerization, thirty-two samples of nanocomposite films with different percentage compositions, components, and thicknesses are prepared. Then, the breakdown field strength is tested by using voltage test equipment. From the test results, the correlation coefficient (CC, the mean absolute error (MAE, the root mean squared error (RMSE, the relative absolute error (RAE, and the root relative squared error (RRSE are 0.9664, 14.2598, 19.684, 22.26%, and 25.01% with SGBS model. The result indicates that the predicted values fit well with the measured ones. Comparisons between models such as linear regression, BP, GRNN, SVR, and SMO-SVR have also been made under the same conditions. They show that CC of the SGBS model is higher than those of other models. Nevertheless, the MAE, RMSE, RAE, and RRSE of the SGBS model are lower than those of other models. This demonstrates that the SGBS model is better than other models in predicting the breakdown field strength of polyimide nanocomposite films.

  7. Predicting active school travel: The role of planned behavior and habit strength

    Science.gov (United States)

    2012-01-01

    Background Despite strong support for predictive validity of the theory of planned behavior (TPB) substantial variance in both intention and behavior is unaccounted for by the model’s predictors. The present study tested the extent to which habit strength augments the predictive validity of the TPB in relation to a currently under-researched behavior that has important health implications, namely children’s active school travel. Method Participants (N = 126 children aged 8–9 years; 59 % males) were sampled from five elementary schools in the west of Scotland and completed questionnaire measures of all TPB constructs in relation to walking to school and both walking and car/bus use habit. Over the subsequent week, commuting steps on school journeys were measured objectively using an accelerometer. Hierarchical multiple regressions were used to test the predictive utility of the TPB and habit strength in relation to both intention and subsequent behavior. Results The TPB accounted for 41 % and 10 % of the variance in intention and objectively measured behavior, respectively. Together, walking habit and car/bus habit significantly increased the proportion of explained variance in both intention and behavior by 6 %. Perceived behavioral control and both walking and car/bus habit independently predicted intention. Intention and car/bus habit independently predicted behavior. Conclusions The TPB significantly predicts children’s active school travel. However, habit strength augments the predictive validity of the model. The results indicate that school travel is controlled by both intentional and habitual processes. In practice, interventions could usefully decrease the habitual use of motorized transport for travel to school and increase children’s intention to walk (via increases in perceived behavioral control and walking habit, and decreases in car/bus habit). Further research is needed to identify effective strategies for changing these

  8. Roll force prediction of high strength steel using foil rolling theory in cold skin pass rolling

    International Nuclear Information System (INIS)

    Song, Gil Ho; Jung, Jae Chook

    2013-01-01

    Skin pass rolling is a very important process for applying a certain elongation to a strip in the cold rolling and annealing processes, which play an important role in preventing the stretching of the yield point when the material is processed. The exact prediction of the rolling force is essential for obtaining a given elongation with the steel grade and strip size. Unlike hot rolling and cold rolling, skin pass rolling is used to apply an elongation of within 2% to the strip. Under a small reduction, it is difficult to predict the rolling force because the elastic deformation behavior of the rolls is complicated and a model for predicting the rolling force has not yet been established. Nevertheless, the exact prediction of the rolling force in skin pass rolling has gained increasing importance in recent times with the rapid development of high strength steels for use in automobiles. In this study, the possibility of predicting the rolling force in skin pass rolling for producing various steel grades was examined using foil rolling theory, which is known to have similar elastic deformation behavior of rolls in the roll bite. It was found that a noncircular arc model is more accurate than a circular model in predicting the roll force of high strength steel below TS 980 MPa in skin pass rolling

  9. Theoretical prediction of pullout strengths for dental and orthopaedic screws with conical profile and buttress threads.

    Science.gov (United States)

    Shih, Kao-Shang; Hou, Sheng-Mou; Lin, Shang-Chih

    2017-12-01

    The pullout strength of a screw is an indicator of how secure bone fragments are being held in place. Such bone-purchasing ability is sensitive to bone quality, thread design, and the pilot hole, and is often evaluated by experimental and numerical methods. Historically, there are some mathematical formulae to simulate the screw withdrawal from the synthetic bone. There are great variations in screw specifications. However, extensive investigation of the correlation between experimental and analytical results has not been reported in literature. Referring to the literature formulae, this study aims to evaluate the differences in the calculated pullout strengths. The pullout tests of the surgical screws are measured and the sawbone is used as the testing block. The absolute errors and correlation coefficients of the experimental and analytical results are calculated as the comparison baselines of the formulae. The absolute error of the dental, traumatic, and spinal groups are 21.7%, 95.5%, and 37.0%, respectively. For the screws with a conical profile and/or tiny threads, the calculated and measured results are not well correlated. The formulae are not accurate indicators of the pullout strengths of the screws where the design parameters are slightly varied. However, the experimental and numerical results are highly correlated for the cylindrical screws. The pullout strength of a conical screw is higher than that of its counterpart, but all formulae consistently predict the opposite results. In general, the bony purchase of the buttress threads is securer than that of the symmetric thread. An absolute error of up to 51.4% indicates the theoretical results cannot predict the actual value of the pullout strength. Only thread diameter, pitch, and depth are considered in the investigated formulae. The thread profile and shape should be formulated to modify the slippage mechanism at the bone-screw interfaces and simulate the strength change in the squeezed bones

  10. Weaker lower extremity muscle strength predicts traumatic knee injury in youth female but not male athletes.

    Science.gov (United States)

    Ryman Augustsson, Sofia; Ageberg, Eva

    2017-01-01

    The role of lower extremity (LE) muscle strength for predicting traumatic knee injury in youth athletes is largely unknown. The aim was to investigate the influence of LE muscle strength on traumatic knee injury in youth female and male athletes. 225 athletes (40% females) from sport senior high schools in Sweden were included in this case-control study. The athletes recorded any traumatic knee injury that had occurred during their high-school period in a web-based injury form. A one repetition maximum (1RM) barbell squat test was used to measure LE muscle strength. The 1RM was dichotomised to analyse 'weak' versus 'strong' athletes according to the median (weak median vs strong median ). 63 traumatic knee injuries, including 18 ACL injuries, were registered. The majority of injured female athletes were in the weak group compared with the strong group (p=0.0001). The odds of sustaining a traumatic knee injury and an ACL injury was 9.5 times higher and 7 times higher, respectively, in the weak median group compared with the strong median group in females (p ≤0.011). A relative 1RM squat ≤1.05 kg (105% of bodyweight) was established as the best cut-off value to distinguish high versus low risk of injury in female athletes. No strength-injury relationships were observed for the male athletes (p ≥0.348). Weaker LE muscle strength predicted traumatic knee injury in youth female athletes, but not in males. This suggests that LE muscle strength should be included in injury screening in youth female athletes.

  11. Predicting development of undrained shear strength in soft oil sands tailings

    Energy Technology Data Exchange (ETDEWEB)

    Masala, S. [Klohn Crippen Berger, Calgary, AB (Canada); Matthews, J. [Shell Canada Ltd., Calgary, AB (Canada)

    2010-07-01

    This PowerPoint presentation discussed a method of predicting the development of undrained shear strength in soft oil sands tailings. Phenomenology charts of oil sands tailings ponds were used to present the suspension, density, stresses and hydrostatic behaviour of tailings. Sedimentation and consolidation processes were discussed. The charts demonstrated how the tailings slurry settles and consolidates, releases water and dissipates pore pressures. The slurry then develops intergranular stresses and increases in density. The increases correlate with increased resistance to deformation and decreased compressibility and hydraulic conductivity. A critical state soil mechanics (CSSM) was used to characterize the soft oil sands tailings. Undrained strength was determined using the concept of the undrained strength ratio (USR). The USR was determined using traditional geotechnical investigation methods. Settling of the non-consolidated (NC) soil deposits was simulated using the finite strain consolidation theory. The model was based on the premise that current effective stresses control undrained shear strength in the NC deposits. Case studies were used to demonstrate the predictive framework. tabs, figs.

  12. Prediction of Corrosion Resistance of Concrete Containing Natural Pozzolan from Compressive Strength

    Science.gov (United States)

    al-Swaidani, A. M.; Ismat, R.; Diyab, M. E.; Aliyan, S. D.

    2015-11-01

    A lot of Reinforced Concrete (RC) structures in Syria have suffered from reinforcement corrosion which shortened significantly their service lives. Probably, one of the most effective approaches to make concrete structures more durable and concrete industry on the whole - more sustainable is to substitute pozzolan for a portion of Portland cement (PC). Syria is relatively rich in natural pozzolan. In the study, in order to predict the corrosion resistance from compressive strength, concrete specimens were produced with seven cement types: one plain Portland cement (control) and six natural pozzolan-based cements with replacement levels ranging from 10 to 35%. The development of the compressive strengths of concrete cube specimens with curing time has been investigated. Chloride penetrability has also been evaluated for all concrete mixes after three curing times of 7, 28 and 90 days. The effect on resistance of concrete against damage caused by corrosion of the embedded reinforcing steel has been investigated using an accelerated corrosion test by impressing a constant anodic potential for 7, 28 and 90 days curing. Test results have been statistically analysed and correlation equations relating compressive strength and corrosion performance have been developed. Significant correlations have been noted between the compressive strength and both rapid chloride penetrability and corrosion initiation times. So, this prediction could be reliable in concrete mix design when using natural pozzolan as cement replacement.

  13. Predicting tensile strength of friction stir welded AA6061 aluminium alloy joints by a mathematical model

    International Nuclear Information System (INIS)

    Elangovan, K.; Balasubramanian, V.; Babu, S.

    2009-01-01

    AA6061 aluminium alloy (Al-Mg-Si alloy) has gathered wide acceptance in the fabrication of light weight structures requiring a high strength-to weight ratio and good corrosion resistance. Compared to the fusion welding processes that are routinely used for joining structural aluminium alloys, friction stir welding (FSW) process is an emerging solid state joining process in which the material that is being welded does not melt and recast. This process uses a non-consumable tool to generate frictional heat in the abutting surfaces. The welding parameters such as tool rotational speed, welding speed, axial force etc., and tool pin profile play a major role in deciding the joint strength. An attempt has been made to develop a mathematical model to predict tensile strength of the friction stir welded AA6061 aluminium alloy by incorporating FSW process parameters. Four factors, five levels central composite design has been used to minimize number of experimental conditions. Response surface method (RSM) has been used to develop the model. Statistical tools such as analysis of variance (ANOVA), student's t-test, correlation co-efficient etc. have been used to validate the developed model. The developed mathematical model can be effectively used to predict the tensile strength of FSW joints at 95% confidence level

  14. Comparison of Machine Learning Techniques for the Prediction of Compressive Strength of Concrete

    Directory of Open Access Journals (Sweden)

    Palika Chopra

    2018-01-01

    Full Text Available A comparative analysis for the prediction of compressive strength of concrete at the ages of 28, 56, and 91 days has been carried out using machine learning techniques via “R” software environment. R is digging out a strong foothold in the statistical realm and is becoming an indispensable tool for researchers. The dataset has been generated under controlled laboratory conditions. Using R miner, the most widely used data mining techniques decision tree (DT model, random forest (RF model, and neural network (NN model have been used and compared with the help of coefficient of determination (R2 and root-mean-square error (RMSE, and it is inferred that the NN model predicts with high accuracy for compressive strength of concrete.

  15. Models for Strength Prediction of High-Porosity Cast-In-Situ Foamed Concrete

    Directory of Open Access Journals (Sweden)

    Wenhui Zhao

    2018-01-01

    Full Text Available A study was undertaken to develop a prediction model of compressive strength for three types of high-porosity cast-in-situ foamed concrete (cement mix, cement-fly ash mix, and cement-sand mix with dry densities of less than 700 kg/m3. The model is an extension of Balshin’s model and takes into account the hydration ratio of the raw materials, in which the water/cement ratio was a constant for the entire construction period for a certain casting density. The results show that the measured porosity is slightly lower than the theoretical porosity due to few inaccessible pores. The compressive strength increases exponentially with the increase in the ratio of the dry density to the solid density and increases with the curing time following the composite function A2ln⁡tB2 for all three types of foamed concrete. Based on the results that the compressive strength changes with the porosity and the curing time, a prediction model taking into account the mix constitution, curing time, and porosity is developed. A simple prediction model is put forward when no experimental data are available.

  16. Tax Salience, Voting, and Deliberation

    DEFF Research Database (Denmark)

    Sausgruber, Rupert; Tyran, Jean-Robert

    Tax incentives can be more or less salient, i.e. noticeable or cognitively easy to process. Our hypothesis is that taxes on consumers are more salient to consumers than equivalent taxes on sellers because consumers underestimate the extent of tax shifting in the market. We show that tax salience...... biases consumers' voting on tax regimes, and that experience is an effective de-biasing mechanism in the experimental laboratory. Pre-vote deliberation makes initially held opinions more extreme rather than correct and does not eliminate the bias in the typical committee. Yet, if voters can discuss...... their experience with the tax regimes they are less likely to be biased....

  17. Thai Electoral Campaigning: Vote-Canvassing Networks and Hybrid Voting

    Directory of Open Access Journals (Sweden)

    Anyarat Chattharakul

    2010-01-01

    Full Text Available Based on evidence gathered through participant observation, this article illuminates the nature of vote-canvassing, previously a black box in Thai electoral studies. Offering a close-up study of the internal mechanisms of an individual Thai election campaign, this article reveals that vote-canvasser networks are underpinned by long-term dyadic relationships, both hierarchical and horizontal, between the candidate, vote-canvassers and voters. These networks continue to be the most important factor in winning elections. This article documents how candidates draw up an election campaign map and identify voters along residential lines to maximise their vote-canvassing strategy. The findings of this article challenge Anek’s 1996 concept of “two democracies”, which argues that rural voters are influenced by money, local leaders, political factions and corrupt politicians while more well-educated, urban, middle-class voters are more oriented toward the alternative policies offered by competing parties. The case study of Kom’s election campaign showed that the role of the much-vaunted middle-class voters is not decisive, even in suburban areas of Bangkok. While political marketing has grown in importance in Thai elections, it has not displaced traditional electoral practices. Thai society is, in fact, deeply fragmented and diverse – too complex to be divided in such a simplistic manner. This article suggests that rather than undergoing a linear transformation, political hybridisation is a key trend in Thai election campaigns.

  18. An acoustic method for predicting relative strengths of cohesive sediment deposits

    Science.gov (United States)

    Reed, A. H.; Sanders, W. M.

    2017-12-01

    Cohesive sediment dynamics are fundamentally determined by sediment mineralogy, organic matter composition, ionic strength of water, and currents. These factors work to bind the cohesive sediments and to determine depositional rates. Once deposited the sediments exhibit a nonlinear response to stress and they develop increases in shear strength. Shear strength is critically important in resuspension, transport, creep, and failure predictions. Typically, shear strength is determined by point measurements, both indirectly from free-fall penetrometers or directly on cores with a shear vane. These values are then used to interpolate over larger areas. However, the remote determination of these properties would provide continuos coverage, yet it has proven difficult with sonar systems. Recently, findings from an acoustic study on cohesive sediments in a laboratory setting suggests that cohesive sediments may be differentiated using parametric acoustics; this method pulses two primary frequencies into the sediment and the resultant difference frequency is used to determine the degree of acoustic nonlinearity within the sediment. In this study, two marine clay species, kaolinite and montmorillonite, and two biopolymers, guar gum and xanthan gum were mixed to make nine different samples. The samples were evaluated in a parametric acoustic measurement tank. From the parametric acoustic measurements, the quadratic nonlinearity coefficient (beta) was determined. beta was correlated with the cation exchange capacity (CEC), an indicator of shear strength. The results indicate that increased acoustic nonlinearity correlates with increased CEC. From this work, laboratory measurements indicate that this correlation may be used evaluate geotechnical properties of cohesive sediments and may provide a means to predict sediment weakness in subaqueous environments.

  19. Accuracy gains of adding vote expectation surveys to a combined forecast of US presidential election outcomes

    Directory of Open Access Journals (Sweden)

    Andreas Graefe

    2015-02-01

    Full Text Available In averaging forecasts within and across four-component methods (i.e. polls, prediction markets, expert judgment and quantitative models, the combined PollyVote provided highly accurate predictions for the US presidential elections from 1992 to 2012. This research note shows that the PollyVote would have also outperformed vote expectation surveys, which prior research identified as the most accurate individual forecasting method during that time period. Adding vote expectations to the PollyVote would have further increased the accuracy of the combined forecast. Across the last 90 days prior to the six elections, a five-component PollyVote (i.e. including vote expectations would have yielded a mean absolute error of 1.08 percentage points, which is 7% lower than the corresponding error of the original four-component PollyVote. This study thus provides empirical evidence in support of two major findings from forecasting research. First, combining forecasts provides highly accurate predictions, which are difficult to beat for even the most accurate individual forecasting method available. Second, the accuracy of a combined forecast can be improved by adding component forecasts that rely on different data and different methods than the forecasts already included in the combination.

  20. Class voting and Left–Right party positions: A comparative study of 15 Western democracies, 1960–2005

    NARCIS (Netherlands)

    Jansen, Giedo

    2013-01-01

    Studies that explain the class voting have often focused on “bottom-up” social factors, but paid little attention to ‘top-down’ political factors. We argue that party positions on left–right ideology have an effect on the strength of class voting. This argument is tested by estimating the impact of

  1. Class voting and Left–Right party positions: A comparative study of 15 Western democracies, 1960–2005

    NARCIS (Netherlands)

    Jansen, G.; Evans, G.; Graaf, N.D. de

    2013-01-01

    Studies that explain the class voting have often focused on "bottom-up" social factors, but paid little attention to 'top-down' political factors. We argue that party positions on left–right ideology have an effect on the strength of class voting. This argument is tested by estimating the impact of

  2. On improving the efficiency of tensor voting

    OpenAIRE

    Moreno, Rodrigo; Garcia, Miguel Angel; Puig, Domenec; Pizarro, Luis; Burgeth, Bernhard; Weickert, Joachim

    2011-01-01

    This paper proposes two alternative formulations to reduce the high computational complexity of tensor voting, a robust perceptual grouping technique used to extract salient information from noisy data. The first scheme consists of numerical approximations of the votes, which have been derived from an in-depth analysis of the plate and ball voting processes. The second scheme simplifies the formulation while keeping the same perceptual meaning of the original tensor voting: The stick tensor v...

  3. Hip external rotation strength predicts hop performance after anterior cruciate ligament reconstruction.

    Science.gov (United States)

    Kline, Paul W; Burnham, Jeremy; Yonz, Michael; Johnson, Darren; Ireland, Mary Lloyd; Noehren, Brian

    2018-04-01

    Quadriceps strength and single-leg hop performance are commonly evaluated prior to return to sport after anterior cruciate ligament reconstruction (ACLR). However, few studies have documented potential hip strength deficits after ACLR, or ascertained the relative contribution of quadriceps and hip strength to hop performance. Patients cleared for return to sports drills after ACLR were compared to a control group. Participants' peak isometric knee extension, hip abduction, hip extension, and hip external rotation (HER) strength were measured. Participants also performed single-leg hops, timed hops, triple hops, and crossover hops. Between-limb comparisons for the ACLR to control limb and the non-operative limb were made using independent two-sample and paired sample t tests. Pearson's correlations and stepwise multiple linear regression were used to determine the relationships and predictive ability of limb strength, graft type, sex, and limb dominance to hop performance. Sixty-five subjects, 20 ACLR [11F, age 22.8 (15-45) years, 8.3 ± 2 months post-op, mass 70.47 ± 12.95 kg, height 1.71 ± 0.08 m, Tegner 5.5 (3-9)] and 45 controls [22F, age 25.8 (15-45) years, mass 74.0 ± 15.2 kg, height 1.74 ± 0.1 m, Tegner 6 (3-7)], were tested. Knee extension (4.4 ± 1.5 vs 5.4 ± 1.8 N/kg, p = 0.02), HER (1.4 ± 0.4 vs 1.7 ± 0.5 N/kg, p = 0.04), single-leg hop (146 ± 37 vs 182 ± 38% limb length, p hop (417 ± 106 vs 519 ± 102% limb length, p hop (3.3 ± 2.0 vs 2.3 ± 0.6 s, p hop (364 ± 107 vs 446 ± 123% limb length, p = 0.01) were significantly impaired in the operative versus control subject limbs. Similar deficits existed between the operative and non-operative limbs. Knee extension and HER strength were significantly correlated with each of the hop tests, but only HER significantly predicted hop performance. After ACLR, patients have persistent HER strength, knee extension strength, and hop test deficits in the

  4. 12 CFR 7.2022 - Voting trusts.

    Science.gov (United States)

    2010-01-01

    ... Practices § 7.2022 Voting trusts. The shareholders of a national bank may establish a voting trust under the applicable law of a state selected by the participants and designated in the trust agreement, provided the... 12 Banks and Banking 1 2010-01-01 2010-01-01 false Voting trusts. 7.2022 Section 7.2022 Banks and...

  5. 12 CFR 708a.13 - Voting guidelines.

    Science.gov (United States)

    2010-01-01

    ... 12 Banks and Banking 6 2010-01-01 2010-01-01 false Voting guidelines. 708a.13 Section 708a.13... INSURED CREDIT UNIONS TO MUTUAL SAVINGS BANKS § 708a.13 Voting guidelines. A converting credit union must conduct its member vote on conversion in a fair and legal manner. NCUA provides the following guidelines...

  6. RIES: Internet voting in action

    NARCIS (Netherlands)

    Hubbers, E.M.G.M.; Jacobs, B.P.F.; Pieters, Wolter

    2004-01-01

    RIES stands for Rijnland Internet Election System. It is an online voting system that was developed by one of the Dutch local authorities on water management. The system has been used twice in the fall of 2004 for in total approximately two million potential voters. In this paper we describe how

  7. RIES: Internet voting in action

    NARCIS (Netherlands)

    Hubbers, E.M.G.M.; Jacobs, B.P.F.; Pieters, Wolter

    2005-01-01

    RIES stands for Rijnland Internet Election System. It is an online voting system that has been used twice in the fall of 2004 for in total over two million potential voters. In this paper we describe how this system works. Furthermore we describe how the system allowed us to independently verify the

  8. Truthful approximations to range voting

    DEFF Research Database (Denmark)

    Filos-Ratsika, Aris; Miltersen, Peter Bro

    We consider the fundamental mechanism design problem of approximate social welfare maximization under general cardinal preferences on a finite number of alternatives and without money. The well-known range voting scheme can be thought of as a non-truthful mechanism for exact social welfare...

  9. Vote Counting as Mathematical Proof

    DEFF Research Database (Denmark)

    Schürmann, Carsten; Pattinson, Dirk

    2015-01-01

    then consists of a sequence (or tree) of rule applications and provides an independently checkable certificate of the validity of the result. This reduces the need to trust, or otherwise verify, the correctness of the vote counting software once the certificate has been validated. Using a rule...

  10. Tensile properties and temperature-dependent yield strength prediction of GH4033 wrought superalloy

    Energy Technology Data Exchange (ETDEWEB)

    Ma, Jianzuo [State Key Laboratory of Coal Mine Disaster Dynamics and Control and College of Aerospace Engineering, Chongqing University, Chongqing 400030 (China); Li, Weiguo, E-mail: wgli@cqu.edu.cn [State Key Laboratory of Coal Mine Disaster Dynamics and Control and College of Aerospace Engineering, Chongqing University, Chongqing 400030 (China); Zhang, Xianhe; Kou, Haibo; Shao, Jiaxing; Geng, Peiji; Deng, Yong [State Key Laboratory of Coal Mine Disaster Dynamics and Control and College of Aerospace Engineering, Chongqing University, Chongqing 400030 (China); Fang, Daining [LTCS and College of Engineering, Peking University, Beijing 100871 (China)

    2016-10-31

    The tensile properties of superalloy GH4033 have been evaluated at temperatures ranging from room temperature to 1000 °C. Fracture surfaces and precipitation were observed using a field-emission scanning electron microscope (FE-SEM). The alloy mainly consisted of γ’ precipitate particles homogeneously dispersed in the γ matrix interior. The effects of dynamic strain aging and precipitation on the strength were verified. A temperature-dependent yield strength model was developed to describe the temperature and precipitation effects on the alloy's yield behaviour. The model is able to consider the effect of precipitation strengthening on the yield strength. The yield behaviour of the precipitation-strengthened superalloy was demonstrated to be adequately predictable over a wide range of temperatures. Note that this model reflects the quantitative relationship between the yield strength of the precipitation-strengthened superalloy and the temperature, the elastic modulus, the specific heat capacity at constant pressure, Poisson's ratio, the precipitate particle size and the volume fraction of the particles.

  11. A molecular-mechanics based finite element model for strength prediction of single wall carbon nanotubes

    International Nuclear Information System (INIS)

    Meo, M.; Rossi, M.

    2007-01-01

    The aim of this work was to develop a finite element model based on molecular mechanics to predict the ultimate strength and strain of single wallet carbon nanotubes (SWCNT). The interactions between atoms was modelled by combining the use of non-linear elastic and torsional elastic spring. In particular, with this approach, it was tried to combine the molecular mechanics approach with finite element method without providing any not-physical data on the interactions between the carbon atoms, i.e. the CC-bond inertia moment or Young's modulus definition. Mechanical properties as Young's modulus, ultimate strength and strain for several CNTs were calculated. Further, a stress-strain curve for large deformation (up to 70%) is reported for a nanotube Zig-Zag (9,0). The results showed that good agreement with the experimental and numerical results of several authors was obtained. A comparison of the mechanical properties of nanotubes with same diameter and different chirality was carried out. Finally, the influence of the presence of defects on the strength and strain of a SWNT was also evaluated. In particular, the stress-strain curve a nanotube with one-vacancy defect was evaluated and compared with the curve of a pristine one, showing a reduction of the ultimate strength and strain for the defected nanotube. The FE model proposed demonstrate to be a reliable tool to simulate mechanical behaviour of carbon nanotubes both in the linear elastic field and the non-linear elastic field

  12. Voice and Handgrip Strength Predict Reproductive Success in a Group of Indigenous African Females

    Science.gov (United States)

    Sorokowska, Agnieszka; Sorokowski, Piotr; Mberira, Mara; Bartels, Astrid; Gallup, Gordon G.

    2012-01-01

    Evolutionary accounts of human traits are often based on proxies for genetic fitness (e.g., number of sex partners, facial attractiveness). Instead of using proxies, actual differences in reproductive success is a more direct measure of Darwinian fitness. Certain voice acoustics such as fundamental frequency and measures of health such as handgrip strength correlate with proxies of fitness, yet there are few studies showing the relation of these traits to reproduction. Here, we explore whether the fundamental frequency of the voice and handgrip strength account for differences in actual reproduction among a population of natural fertility humans. Our results show that both fundamental frequency and handgrip strength predict several measures of reproductive success among a group of indigenous Namibian females, particularly amongst the elderly, with weight also predicting reproductive outcomes among males. These findings demonstrate that both hormonally regulated and phenotypic quality markers can be used as measures of Darwinian fitness among humans living under conditions that resemble the evolutionary environment of Homo sapiens. We also argue that these findings provide support for the Grandmother Hypothesis. PMID:22870251

  13. PREDICTION OF GEOMAGNETIC STORM STRENGTH FROM INNER HELIOSPHERIC IN SITU OBSERVATIONS

    Energy Technology Data Exchange (ETDEWEB)

    Kubicka, M.; Möstl, C.; Amerstorfer, T.; Boakes, P. D.; Törmänen, O. [Space Research Institute, Austrian Academy of Sciences, 8042 Graz (Austria); Feng, L. [Purple Mountain Observatory, Chinese Academy of Sciences, West Beijing Road 2 Nanjing, 210008 (China); Eastwood, J. P., E-mail: christian.moestl@oeaw.ac.at [Space and Atmospheric Physics, The Blackett Laboratory, Imperial College London, London SW7 2AZ (United Kingdom)

    2016-12-20

    Prediction of the effects of coronal mass ejections (CMEs) on Earth strongly depends on knowledge of the interplanetary magnetic field southward component, B{sub z}. Predicting the strength and duration of B{sub z} inside a CME with sufficient accuracy is currently impossible, forming the so-called B{sub z} problem. Here, we provide a proof-of-concept of a new method for predicting the CME arrival time, speed, B{sub z}, and resulting disturbance storm time ( Dst ) index on Earth based only on magnetic field data, measured in situ in the inner heliosphere (<1 au). On 2012 June 12–16, three approximately Earthward-directed and interacting CMEs were observed by the Solar Terrestrial Relations Observatory imagers and Venus Express (VEX) in situ at 0.72 au, 6° away from the Sun–Earth line. The CME kinematics are calculated using the drag-based and WSA–Enlil models, constrained by the arrival time at VEX , resulting in the CME arrival time and speed on Earth. The CME magnetic field strength is scaled with a power law from VEX to Wind . Our investigation shows promising results for the Dst forecast (predicted: −96 and −114 nT (from 2 Dst models); observed: −71 nT), for the arrival speed (predicted: 531 ± 23 km s{sup −1}; observed: 488 ± 30 km s{sup −1}), and for the timing (6 ± 1 hr after the actual arrival time). The prediction lead time is 21 hr. The method may be applied to vector magnetic field data from a spacecraft at an artificial Lagrange point between the Sun and Earth or to data taken by any spacecraft temporarily crossing the Sun–Earth line.

  14. Dataset on predictive compressive strength model for self-compacting concrete.

    Science.gov (United States)

    Ofuyatan, O M; Edeki, S O

    2018-04-01

    The determination of compressive strength is affected by many variables such as the water cement (WC) ratio, the superplasticizer (SP), the aggregate combination, and the binder combination. In this dataset article, 7, 28, and 90-day compressive strength models are derived using statistical analysis. The response surface methodology is used toinvestigate the effect of the parameters: Varying percentages of ash, cement, WC, and SP on hardened properties-compressive strengthat 7,28 and 90 days. Thelevels of independent parameters are determinedbased on preliminary experiments. The experimental values for compressive strengthat 7, 28 and 90 days and modulus of elasticity underdifferent treatment conditions are also discussed and presented.These dataset can effectively be used for modelling and prediction in concrete production settings.

  15. Prediction of the oscillator strengths for the electric dipole transitions in Th II

    Energy Technology Data Exchange (ETDEWEB)

    Dembczynski, Jerzy [Institute of Control and Information Engineering, Faculty of Electrical Engineering, Poznan University of Technology, Piotrowo 3A, 60-965 Poznan (Poland); Ruczkowski, Jaroslaw; Elantkowska, Magdalena [Laboratory of Quantum Engineering and Metrology, Faculty of Technical Physics, Poznan University of Technology, Nieszawska 13B, 60-965 Poznan (Poland)

    2014-07-01

    In order to parametrize the oscillator strength, the matrix of angular coefficients of the possible transitions in multiconfiguration system were calculated. In the odd and even configuration systems, the fine structure eigenvectors for both parities were obtained, using our semiempirical method, which taken into account also the second order effects, resulting from the excitations from electronic closed shells to open shells and from open shells to empty shell. The correctness of the fine structure wave functions was verified by the comparison of calculated and experimental hyperfine structure constants for Th II available in the literature. The least square fit to experimental values for some transitions allow to obtain the values of radial parameters and predict the oscillator strengths values for all possible transitions from the levels under consideration. These calculations are necessary for the design of the nuclear frequency standard based on the thorium ion.

  16. Springback Prediction and Compensation for a High Strength Steel Side Impact Beam

    International Nuclear Information System (INIS)

    Dutton, Trevor; Edwards, Richard; Blowey, Andrew

    2005-01-01

    Prediction of formability for sheet metal pressings has advanced to a high state of confidence in recent years. The major challenge is now to predict springback and, moreover, to assist in the design of tooling to correctly compensate for springback. This is particularly the case for materials now being routinely considered for automotive production, such as aluminium and ultra high strength steels, which are prone to greater degrees of springback than traditional mild steels. This paper presents a case study based on the tool design for an ultra high strength steel side impact beam. The forming and springback simulations, carried out using eta/DYNAFORM (based on the LS-DYNA solver), are reported and compared to measurements from the prototype panels. The analysis parameters used in the simulation are presented, and the sensitivity of the results to variation in physical properties is also reviewed. The process of compensating the tools based on the analysis prediction is described; finally, an automated springback compensation method is also applied and the results compared with the final tool design

  17. Do Altruistic Preferences Matter for Voting Outcomes?

    DEFF Research Database (Denmark)

    Mahler, Daniel Gerszon

    2017-01-01

    and actual votes are analyzed by locating the Danish political parties in a political compass. Altruistic preferences are found to drive votes to the left and away from extreme candidates. A smaller U.S. survey on the 2016 presidential candidates (n = 400) yields similar results. The results suggest...... they would vote for if elections were held tomorrow, (2) the party they would vote for if they only were to consider what is best for themselves, and (3) the party they would vote for if they were to consider what is best for society as a whole. Differences in where individuals cast their altruistic, selsh...

  18. Voting by older adults with cognitive impairments.

    Science.gov (United States)

    Karlawish, Jason

    2008-02-01

    This presidential election year reminds us of the importance of each vote and of the integrity of the electoral process. Recent elections have been decided by very narrow margins. In this context, the voting rights and capacity of persons with dementia warrant attention. About 4.5 million Americans currently live with dementia. Whether these citizens should vote raises a host of ethical, legal, and practical issues. At what point does someone lose the capacity to vote, and who decides? What kinds of assistance should these voters get, and who should provide it? And how can the voting rights of residents in long-term care facilities be protected?

  19. Secure Biometric E-Voting Scheme

    Science.gov (United States)

    Ahmed, Taha Kh.; Aborizka, Mohamed

    The implementation of the e-voting becomes more substantial with the rapid increase of e-government development. The recent growth in communications and cryptographic techniques facilitate the implementation of e-voting. Many countries introduced e-voting systems; unfortunately most of these systems are not fully functional. In this paper we will present an e-voting scheme that covers most of the e-voting requirements, smart card and biometric recognition technology were implemented to guarantee voter's privacy and authentication.

  20. Predicting the Maximum Dynamic Strength in Bench Press: The High Precision of the Bar Velocity Approach.

    Science.gov (United States)

    Loturco, Irineu; Kobal, Ronaldo; Moraes, José E; Kitamura, Katia; Cal Abad, César C; Pereira, Lucas A; Nakamura, Fábio Y

    2017-04-01

    Loturco, I, Kobal, R, Moraes, JE, Kitamura, K, Cal Abad, CC, Pereira, LA, and Nakamura, FY. Predicting the maximum dynamic strength in bench press: the high precision of the bar velocity approach. J Strength Cond Res 31(4): 1127-1131, 2017-The aim of this study was to determine the force-velocity relationship and test the possibility of determining the 1 repetition maximum (1RM) in "free weight" and Smith machine bench presses. Thirty-six male top-level athletes from 3 different sports were submitted to a standardized 1RM bench press assessment (free weight or Smith machine, in randomized order), following standard procedures encompassing lifts performed at 40-100% of 1RM. The mean propulsive velocity (MPV) was measured in all attempts. A linear regression was performed to establish the relationships between bar velocities and 1RM percentages. The actual and predicted 1RM for each exercise were compared using a paired t-test. Although the Smith machine 1RM was higher (10% difference) than the free weight 1RM, in both cases the actual and predicted values did not differ. In addition, the linear relationship between MPV and percentage of 1RM (coefficient of determination ≥95%) allow determination of training intensity based on the bar velocity. The linear relationships between the MPVs and the relative percentages of 1RM throughout the entire range of loads enable coaches to use the MPV to accurately monitor their athletes on a daily basis and accurately determine their actual 1RM without the need to perform standard maximum dynamic strength assessments.

  1. Experimental Study and Shear Strength Prediction for Reactive Powder Concrete Beams

    Directory of Open Access Journals (Sweden)

    Maha M.S. Ridha

    2018-06-01

    Full Text Available Eighteen reactive powder concrete (RPC beams subjected to monotonic loading were tested to quantify the effect of a novel cementitious matrix materials on the shear behavior of longitudinally reinforced RPC beams without web reinforcement. The main test variables were the ratio of the shear span-to- effective depth (a/d, the ratio of the longitudinal reinforcement (ρw, the percentage of steel fibers volume fractions (Vf and the percentage of silica fume powder (SF. A massive experimental program was implemented with monitoring the concrete strain, the deflection and the cracking width and pattern for each RPC beam during the test at all the stages of the loading until failure. The findings of this paper showed that the addition of micro steel fibers (Lf/Df = 13/0.2 into the RPC mixture did not dramatically influence the initial diagonal cracking load whereas it improved the ultimate load capacity, ductility and absorbed energy. The shear design equations proposed by Ashour et al. and Bunni for high strength fiber reinforced concrete (HSFRC beams have been modified in this paper to predict the shear strength of slender RPC beams without web reinforcement and with a/d ≥ 2.5. The predictions of the modified equations are compared with Equations of Shine et al., Kwak et al. and Khuntia et al. Both of the modified equations in this paper gave satisfied predictions for the shear strength of the tested RPC beams with COV of 7.9% and 10%. Keywords: Beams, Ductility, Crack width, Absorbed energy, Reactive powder concrete, Steel fibers

  2. On improving the efficiency of tensor voting.

    Science.gov (United States)

    Moreno, Rodrigo; Garcia, Miguel Angel; Puig, Domenec; Pizarro, Luis; Burgeth, Bernhard; Weickert, Joachim

    2011-11-01

    This paper proposes two alternative formulations to reduce the high computational complexity of tensor voting, a robust perceptual grouping technique used to extract salient information from noisy data. The first scheme consists of numerical approximations of the votes, which have been derived from an in-depth analysis of the plate and ball voting processes. The second scheme simplifies the formulation while keeping the same perceptual meaning of the original tensor voting: The stick tensor voting and the stick component of the plate tensor voting must reinforce surfaceness, the plate components of both the plate and ball tensor voting must boost curveness, whereas junctionness must be strengthened by the ball component of the ball tensor voting. Two new parameters have been proposed for the second formulation in order to control the potentially conflictive influence of the stick component of the plate vote and the ball component of the ball vote. Results show that the proposed formulations can be used in applications where efficiency is an issue since they have a complexity of order O(1). Moreover, the second proposed formulation has been shown to be more appropriate than the original tensor voting for estimating saliencies by appropriately setting the two new parameters.

  3. Prediction on dielectric strength and boiling point of gaseous molecules for replacement of SF6.

    Science.gov (United States)

    Yu, Xiaojuan; Hou, Hua; Wang, Baoshan

    2017-04-15

    Developing the environment-friendly insulation gases to replace sulfur hexafluoride (SF 6 ) has attracted considerable experimental and theoretical attentions but without success. A computational methodology was presented herein for prediction on dielectric strength and boiling point of arbitrary gaseous molecules in the purpose of molecular design and screening. New structure-activity relationship (SAR) models have been established by combining the density-dependent properties of the electrostatic potential surface, including surface area and the statistical variance of the surface potentials, with the molecular properties including polarizability, electronegativity, and hardness. All the descriptors in the SAR models were calculated using density functional theory. The substitution effect of SF 6 by various functional groups was studied systematically. It was found that CF 3 is the most effective functional group to improve the dielectric strength due to the large surface area and polarizability. However, all the substitutes exhibit higher boiling points than SF 6 because the molecular hardness decreases. The balance between E r and T b could be achieved by minimizing the local polarity of the molecules. SF 5 CN and SF 5 CFO were found to be the potent candidates to replace SF 6 in view of their large dielectric strengths and low boiling points. © 2017 Wiley Periodicals, Inc. © 2017 Wiley Periodicals, Inc.

  4. Habit strength is predicted by activity dynamics in goal-directed brain systems during training.

    Science.gov (United States)

    Zwosta, Katharina; Ruge, Hannes; Goschke, Thomas; Wolfensteller, Uta

    2018-01-15

    Previous neuroscientific research revealed insights into the brain networks supporting goal-directed and habitual behavior, respectively. However, it remains unclear how these contribute to inter-individual differences in habit strength which is relevant for understanding not only normal behavior but also more severe dysregulations between these types of action control, such as in addiction. In the present fMRI study, we trained subjects on approach and avoidance behavior for an extended period of time before testing the habit strength of the acquired stimulus-response associations. We found that stronger habits were associated with a stronger decrease in inferior parietal lobule activity for approach and avoidance behavior and weaker vmPFC activity at the end of training for avoidance behavior, areas associated with the anticipation of outcome identity and value. VmPFC in particular showed markedly different activity dynamics during the training of approach and avoidance behavior. Furthermore, while ongoing training was accompanied by increasing functional connectivity between posterior putamen and premotor cortex, consistent with previous assumptions about the neural basis of increasing habitualization, this was not predictive of later habit strength. Together, our findings suggest that inter-individual differences in habitual behavior are driven by differences in the persistent involvement of brain areas supporting goal-directed behavior during training. Copyright © 2017. Published by Elsevier Inc.

  5. Prediction of soil shear strength in agricultural and natural environments of the Brazilian Cerrado

    Directory of Open Access Journals (Sweden)

    Reginaldo Barboza da Silva

    2015-01-01

    Full Text Available The objective of this work was to develop uni- and multivariate models to predict maximum soil shear strength (τmax under different normal stresses (σn, water contents (U, and soil managements. The study was carried out in a Rhodic Haplustox under Cerrado (control area and under no-tillage and conventional tillage systems. Undisturbed soil samples were taken in the 0.00-0.05 m layer and subjected to increasing U and σn, in shear strength tests. The uni- and multivariate models - respectively τmax=10(a+bU and τmax=10(a+bU+cσn - were significant in all three soil management systems evaluated and they satisfactorily explain the relationship between U, σn, and τmax. The soil under Cerrado has the highest shear strength (τ estimated with the univariate model, regardless of the soil water content, whereas the soil under conventional tillage shows the highest values with the multivariate model, which were associated to the lowest water contents at the soil consistency limits in this management system.

  6. Prediction of fracture strength in Al2O3/SiCp ceramic matrix nanocomposites

    Directory of Open Access Journals (Sweden)

    Z. Zhang and D.L. Chen

    2007-01-01

    Full Text Available Based primarily on a recent publication [S.M. Choi, H. Awaji, Sci. Tech. Adv. Mater. 6 (2005 2–10.], where the dislocations around the nano-sized particles in the intra-granular type of ceramic matrix nanocomposites (CMNCs were modeled, dislocation activities in Al2O3/SiCp CMNCs were discussed in relation to the processing conditions. The dislocations around the nano-sized particles, caused by the thermal mismatch between the ceramic matrix and nano-sized particles, were assumed to hold out the effect of Orowan-like strengthening, although the conventional Owowan loops induced by the movement of dislocations were unlikely in the ceramic matrix at room temperature. A model involving the yield strength of metal matrix nanocomposites (MMNCs, where the Owowan strengthening effect was taken into consideration, was thus modified and extended to predict the fracture strength of the intra-granular type of CMNCs without and with annealing. On the basis of the characteristics of dislocations in the CMNCs, the load-bearing effect and Orowan-like strengthening were considered before annealing, while the load-bearing effect and enhanced dislocation density strengthening were taken into account after annealing. The model prediction was found to be in agreement with the experimental data of Al2O3/SiCp nanocomposites reported in the literature.

  7. Towards Subject-Specific Strength Training Design through Predictive Use of Musculoskeletal Models

    Directory of Open Access Journals (Sweden)

    Michael Plüss

    2018-01-01

    Full Text Available Lower extremity dysfunction is often associated with hip muscle strength deficiencies. Detailed knowledge of the muscle forces generated in the hip under specific external loading conditions enables specific structures to be trained. The aim of this study was to find the most effective movement type and loading direction to enable the training of specific parts of the hip muscles using a standing posture and a pulley system. In a novel approach to release the predictive power of musculoskeletal modelling techniques based on inverse dynamics, flexion/extension and ab-/adduction movements were virtually created. To demonstrate the effectiveness of this approach, three hip orientations and an external loading force that was systematically rotated around the body were simulated using a state-of-the art OpenSim model in order to establish ideal designs for training of the anterior and posterior parts of the M. gluteus medius (GM. The external force direction as well as the hip orientation greatly influenced the muscle forces in the different parts of the GM. No setting was found for simultaneous training of the anterior and posterior parts with a muscle force higher than 50% of the maximum. Importantly, this study has demonstrated the use of musculoskeletal models as an approach to predict muscle force variations for different strength and rehabilitation exercise variations.

  8. A hybrid approach to predict the relationship between tablet tensile strength and compaction pressure using analytical powder compression.

    Science.gov (United States)

    Persson, Ann-Sofie; Alderborn, Göran

    2018-04-01

    The objective was to present a hybrid approach to predict the strength-pressure relationship (SPR) of tablets using common compression parameters and a single measurement of tablet tensile strength. Experimental SPR were derived for six pharmaceutical powders with brittle and ductile properties and compared to predicted SPR based on a three-stage approach. The prediction was based on the Kawakita b -1 parameter and the in-die Heckel yield stress, an estimate of maximal tensile strength, and a parameter proportionality factor α. Three values of α were used to investigate the influence of the parameter on the SPR. The experimental SPR could satisfactorily be described by the three stage model, however for sodium bicarbonate the tensile strength plateau could not be observed experimentally. The shape of the predicted SPR was to a minor extent influenced by the Kawakita b -1 but the width of the linear region was highly influenced by α. An increased α increased the width of the linear region and thus also the maximal predicted tablet tensile strength. Furthermore, the correspondence between experimental and predicted SPR was influenced by the α value and satisfactory predictions were in general obtained for α = 4.1 indicating the predictive potential of the hybrid approach. Copyright © 2017 The Authors. Published by Elsevier B.V. All rights reserved.

  9. Voting based object boundary reconstruction

    Science.gov (United States)

    Tian, Qi; Zhang, Like; Ma, Jingsheng

    2005-07-01

    A voting-based object boundary reconstruction approach is proposed in this paper. Morphological technique was adopted in many applications for video object extraction to reconstruct the missing pixels. However, when the missing areas become large, the morphological processing cannot bring us good results. Recently, Tensor voting has attracted people"s attention, and it can be used for boundary estimation on curves or irregular trajectories. However, the complexity of saliency tensor creation limits its applications in real-time systems. An alternative approach based on tensor voting is introduced in this paper. Rather than creating saliency tensors, we use a "2-pass" method for orientation estimation. For the first pass, Sobel d*etector is applied on a coarse boundary image to get the gradient map. In the second pass, each pixel puts decreasing weights based on its gradient information, and the direction with maximum weights sum is selected as the correct orientation of the pixel. After the orientation map is obtained, pixels begin linking edges or intersections along their direction. The approach is applied to various video surveillance clips under different conditions, and the experimental results demonstrate significant improvement on the final extracted objects accuracy.

  10. General Election 2004: Empirical Validation of Voting Pattern in Malaysia

    Directory of Open Access Journals (Sweden)

    Syed Arabi Idid

    2007-06-01

    Full Text Available Abstract: The purpose of this study is to test the effects of the politically related socio-economic issues, personality of the new Prime Minister and the perceived strength of the ruling party, Barisan Nasional (BN, in influencing the outcomes of elections. It uses the data from the Star-IIUM Survey 2004 and the official election results of general election 2004 for the three northern states of Malaysia and applies the Structural Equation Modeling (SEM. The study found that the personal attributes of the Prime Minister, the strength of the ruling party and the campaign issues positively influenced the popular votes secured by the BN candidates.

  11. Predicting the tensile strength of A UD basalt/ epoxy composite used for the confinement of concrete structures

    Science.gov (United States)

    Ciniņa, I.; Zīle, O.; Andersons, J.

    2013-01-01

    The principal aim of the present research was to predict the strength of UD basalt fiber/epoxy matrix composites in tension along the reinforcement direction. Tension tests on single basalt fibers were performed to determine the functional form of their strength distribution and to evaluate the parameters of the distribution. Also, microbond tests were carried out to assess the interfacial shear strength of the fibers and polymer matrix. UD composite specimens were produced and tested for the longitudinal tensile strength. The predicted strength of the composite was found to exceed the experimental values by ca. 20%, which can be explained by imperfections in the fiber alignment, impregnation, and adhesion in the composite specimens.

  12. Case studies of extended model-based flood forecasting: prediction of dike strength and flood impacts

    Science.gov (United States)

    Stuparu, Dana; Bachmann, Daniel; Bogaard, Tom; Twigt, Daniel; Verkade, Jan; de Bruijn, Karin; de Leeuw, Annemargreet

    2017-04-01

    Flood forecasts, warning and emergency response are important components in flood risk management. Most flood forecasting systems use models to translate weather predictions to forecasted discharges or water levels. However, this information is often not sufficient for real time decisions. A sound understanding of the reliability of embankments and flood dynamics is needed to react timely and reduce the negative effects of the flood. Where are the weak points in the dike system? When, how much and where the water will flow? When and where is the greatest impact expected? Model-based flood impact forecasting tries to answer these questions by adding new dimensions to the existing forecasting systems by providing forecasted information about: (a) the dike strength during the event (reliability), (b) the flood extent in case of an overflow or a dike failure (flood spread) and (c) the assets at risk (impacts). This work presents three study-cases in which such a set-up is applied. Special features are highlighted. Forecasting of dike strength. The first study-case focusses on the forecast of dike strength in the Netherlands for the river Rhine branches Waal, Nederrijn and IJssel. A so-called reliability transformation is used to translate the predicted water levels at selected dike sections into failure probabilities during a flood event. The reliability of a dike section is defined by fragility curves - a summary of the dike strength conditional to the water level. The reliability information enhances the emergency management and inspections of embankments. Ensemble forecasting. The second study-case shows the setup of a flood impact forecasting system in Dumfries, Scotland. The existing forecasting system is extended with a 2D flood spreading model in combination with the Delft-FIAT impact model. Ensemble forecasts are used to make use of the uncertainty in the precipitation forecasts, which is useful to quantify the certainty of a forecasted flood event. From global

  13. Electronic voting systems for defending free will and resisting bribery and coercion based on ring anonymous signcryption scheme

    Directory of Open Access Journals (Sweden)

    Tsung-Chih Hsiao

    2017-01-01

    Full Text Available Vote by ballot is the feature in a democratic society and the process of decision-making, tending to achieve the philosophy of democratic politics by having the public who are eligible to vote for competent candidates or leaders. With the rapid development of technologies and network applications, electronization has been actively promoted globally during the social transformation period that the concept of electronic voting is further derived. The major advantages of electronic voting, comparing with traditional voting, lie in the mobility strength of electronic voting, reducing a large amount of election costs and enhancing the convenience for the public. Electronic voting allows voters completing voting on the Internet that not only are climate and location restrictions overcome, but the voter turnout is also increased and the voting time is reduced for the public. With the development in the past three decades, electronic voting presents outstanding performance theoretically and practically. Nevertheless, it is regrettable that electronic voting schemes still cannot be completely open because of lures by money and threats. People to lure by money and threats would confirm the voters following their instructions through various methods that more factors would appear on election results, affecting the quality and fairness of the election. In this study, this project aims to design an electronic voting scheme which could actually defend voters’ free will so that lure of money and threats would fail. Furthermore, an electronic voting system based on Elliptic Curve Cryptography is proposed to ensure the efficiency and security, and Ring Signature and Signcryption are applied to reducing the computing costs. Moreover, this project also focuses on applying voting system to mobile devices. As the system efficiency and security are emphasized, voters do not need to participate in the election, but simply complete voting with smart phones, i

  14. Prediction of zeolite-cement-sand unconfined compressive strength using polynomial neural network

    Science.gov (United States)

    MolaAbasi, H.; Shooshpasha, I.

    2016-04-01

    The improvement of local soils with cement and zeolite can provide great benefits, including strengthening slopes in slope stability problems, stabilizing problematic soils and preventing soil liquefaction. Recently, dosage methodologies are being developed for improved soils based on a rational criterion as it exists in concrete technology. There are numerous earlier studies showing the possibility of relating Unconfined Compressive Strength (UCS) and Cemented sand (CS) parameters (voids/cement ratio) as a power function fits. Taking into account the fact that the existing equations are incapable of estimating UCS for zeolite cemented sand mixture (ZCS) well, artificial intelligence methods are used for forecasting them. Polynomial-type neural network is applied to estimate the UCS from more simply determined index properties such as zeolite and cement content, porosity as well as curing time. In order to assess the merits of the proposed approach, a total number of 216 unconfined compressive tests have been done. A comparison is carried out between the experimentally measured UCS with the predictions in order to evaluate the performance of the current method. The results demonstrate that generalized polynomial-type neural network has a great ability for prediction of the UCS. At the end sensitivity analysis of the polynomial model is applied to study the influence of input parameters on model output. The sensitivity analysis reveals that cement and zeolite content have significant influence on predicting UCS.

  15. Baseline strength can influence the ability of salivary free testosterone to predict squat and sprinting performance.

    Science.gov (United States)

    Crewther, Blair T; Cook, Christian J; Gaviglio, Chris M; Kilduff, Liam P; Drawer, Scott

    2012-01-01

    The objective of this study was to determine if salivary free testosterone can predict an athlete's performance during back squats and sprints over time and the influence baseline strength on this relationship. Ten weight-trained male athletes were divided into 2 groups based on their 1 repetition maximum (1RM) squats, good squatters (1RM > 2.0 × body weight, n = 5) and average squatters (1RM squat 1RM and 10-m sprint times on 10 separate occasions over a 40-day period. A saliva sample was collected before testing and assayed for free testosterone and cortisol. The pooled testosterone correlations were strong and significant in the good squatters (r = 0.92 for squats, r = -0.87 for sprints, p squats, r = -0.18 for sprints). Cortisol showed no significant correlations with 1RM squat and 10-m sprint performance, and no differences were identified between the 2 squatting groups. In summary, these results suggest that free testosterone is a strong individual predictor of squat and sprinting performance in individuals with relatively high strength levels but a poor predictor in less strong individuals. This information can assist coaches, trainers, and performance scientists working with stronger weight-trained athletes, for example, the preworkout measurement of free testosterone could indicate likely training outcomes or a readiness to train at a certain intensity level, especially if real-time measurements are made. Our results also highlight the need to separate group and individual hormonal data during the repeated testing of athletes with variable strength levels.

  16. On Some Incompatible Properties of Voting Schemes

    OpenAIRE

    Chevallier-Mames , Benoît; Fouque , Pierre-Alain; Pointcheval , David; Stern , Julien; Traoré , Jacques

    2010-01-01

    In this paper, we study the problem of simultaneously achieving several security properties, for voting schemes, without non-standard assumptions. More specifically, we focus on the universal veriability of the computation of the tally, on the unconditional privacy/anonymity of the votes, and on the receipt-freeness properties, for the most classical election processes. Under usual assumptions and efficiency requirements, we show that a voting system that wants to publish the final list of th...

  17. Tensor voting for robust color edge detection

    OpenAIRE

    Moreno, Rodrigo; García, Miguel Ángel; Puig, Domenec

    2014-01-01

    The final publication is available at Springer via http://dx.doi.org/10.1007/978-94-007-7584-8_9 This chapter proposes two robust color edge detection methods based on tensor voting. The first method is a direct adaptation of the classical tensor voting to color images where tensors are initialized with either the gradient or the local color structure tensor. The second method is based on an extension of tensor voting in which the encoding and voting processes are specifically tailored to ...

  18. Using the Maturity Method in Predicting the Compressive Strength of Vinyl Ester Polymer Concrete at an Early Age

    Directory of Open Access Journals (Sweden)

    Nan Ji Jin

    2017-01-01

    Full Text Available The compressive strength of vinyl ester polymer concrete is predicted using the maturity method. The compressive strength rapidly increased until the curing age of 24 hrs and thereafter slowly increased until the curing age of 72 hrs. As the MMA content increased, the compressive strength decreased. Furthermore, as the curing temperature decreased, compressive strength decreased. For vinyl ester polymer concrete, datum temperature, ranging from −22.5 to −24.6°C, decreased as the MMA content increased. The maturity index equation for cement concrete cannot be applied to polymer concrete and the maturity of vinyl ester polymer concrete can only be estimated through control of the time interval Δt. Thus, this study introduced a suitable scaled-down factor (n for the determination of polymer concrete’s maturity, and a factor of 0.3 was the most suitable. Also, the DR-HILL compressive strength prediction model was determined as applicable to vinyl ester polymer concrete among the dose-response models. For the parameters of the prediction model, applying the parameters by combining all data obtained from the three different amounts of MMA content was deemed acceptable. The study results could be useful for the quality control of vinyl ester polymer concrete and nondestructive prediction of early age strength.

  19. Voting Power and Shareholder Activism

    DEFF Research Database (Denmark)

    Strand, Therese; Poulsen, Thomas; Thomsen, Steen

    2010-01-01

    The article discusses the development of a voting power theory that is applied to a unique data set on Swedish shareholder meetings. The authors hypothesize that there is a positive relationship between shareholder activism and the largest shareholder's sensitivity to greater participation by small...... shareholders. It is shown that firms' amenability to small shareholder influence results in more proposals by nomination committees that are dominated by large shareholders, but fewer proposals by other shareholders. The importance of local institutions are highlighted and a call for more research regarding...... shareholder activism in alternative institutional settings is mad...

  20. Machine-Learning-Based Future Received Signal Strength Prediction Using Depth Images for mmWave Communications

    OpenAIRE

    Okamoto, Hironao; Nishio, Takayuki; Nakashima, Kota; Koda, Yusuke; Yamamoto, Koji; Morikura, Masahiro; Asai, Yusuke; Miyatake, Ryo

    2018-01-01

    This paper discusses a machine-learning (ML)-based future received signal strength (RSS) prediction scheme using depth camera images for millimeter-wave (mmWave) networks. The scheme provides the future RSS prediction of any mmWave links within the camera's view, including links where nodes are not transmitting frames. This enables network controllers to conduct network operations before line-of-sight path blockages degrade the RSS. Using the ML techniques, the prediction scheme automatically...

  1. THE EFFICACY OF ANGLE-MATCHED ISOKINETIC KNEE FLEXOR AND EXTENSOR STRENGTH PARAMETERS IN PREDICTING AGILITY TEST PERFORMANCE.

    Science.gov (United States)

    Greig, Matt; Naylor, James

    2017-10-01

    Agility is a fundamental performance element in many sports, but poses a high risk of injury. Hierarchical modelling has shown that eccentric hamstring strength is the primary determinant of agility performance. The purpose of this study was to investigate the relationship between knee flexor and extensor strength parameters and a battery of agility tests. Controlled laboratory study. Nineteen recreational intermittent games players completed an agility battery and isokinetic testing of the eccentric knee flexors (eccH) and concentric knee extensors (conQ) at 60, 180 and 300°·s -1 . Peak torque and the angle at which peak torque occurred were calculated for eccH and conQ at each speed. Dynamic control ratios (eccH:conQ) and fast:slow ratios (300:60) were calculated using peak torque values, and again using angle-matched data, for eccH and conQ. The agility test battery differentiated linear vs directional changes and prescriptive vs reactive tasks. Linear regression showed that eccH parameters were generally a better predictor of agility performance than conQ parameters. Stepwise regression showed that only angle-matched strength ratios contributed to the prediction of each agility test. Trdaitionally calculated strength ratios using peak torque values failed to predict performance. Angle-matched strength parameters were able to account for 80% of the variation in T-test performance, 70% of deceleration distance, 55% of 10m sprint performance, and 44% of reactive change of direction speed. Traditionally calculated strength ratios failed to predict agility performance, whereas angle-matched strength ratios had better predictive ability and featured in a predictive stepwise model for each agility task. 2c.

  2. Internet voting: a conceptual challenge to democracy

    NARCIS (Netherlands)

    Trauth, E.M.; Pieters, Wolter; Howcroft, D.; Butler, T.; Fitzgerald, B.; DeGross, J.I.

    2006-01-01

    In this paper, we discuss the implications for social inclusion of the advent of Internet voting. Although the issue of social exclusion or social inclusion with regard to technological developments in the voting process is often approached as a matter of either security or turnout, we will take a

  3. The wonders of CERN need your vote!

    CERN Multimedia

    2006-01-01

    Two of CERN's creations were chosen by the US news group CNN as their 'seven wonders of the modern world'. The LHC and the World Wide Web are among the leading entries you can vote for to find the greatest wonder of all. Cast your vote at: http://edition.cnn.com/SPECIALS/2006/modern.wonders/

  4. Towards quantum-based privacy and voting

    International Nuclear Information System (INIS)

    Hillery, Mark; Ziman, Mario; Buzek, Vladimir; Bielikova, Martina

    2006-01-01

    The privacy of communicating participants is often of paramount importance, but in some situations it is an essential condition. A typical example is a fair (secret) voting. We analyze in detail communication privacy based on quantum resources, and we propose new quantum protocols. Possible generalizations that would lead to voting schemes are discussed

  5. Self-tallying quantum anonymous voting

    Science.gov (United States)

    Wang, Qingle; Yu, Chaohua; Gao, Fei; Qi, Haoyu; Wen, Qiaoyan

    2016-08-01

    Anonymous voting is a voting method of hiding the link between a vote and a voter, the context of which ranges from governmental elections to decision making in small groups like councils and companies. In this paper, we propose a quantum anonymous voting protocol assisted by two kinds of entangled quantum states. Particularly, we provide a mechanism of opening and permuting the ordered votes of all the voters in an anonymous manner; any party who is interested in the voting results can acquire a permutation copy and then obtains the voting result through a simple calculation. Unlike all previous quantum works on anonymous voting, our quantum anonymous protocol possesses the properties of privacy, self-tallying, nonreusability, verifiability, and fairness at the same time. In addition, we demonstrate that the entanglement of the quantum states used in our protocol makes an attack from an outside eavesdropper and inside dishonest voters impossible. We also generalize our protocol to execute the task of anonymous multiparty computation, such as anonymous broadcast and anonymous ranking.

  6. Bribery or just desserts? Evidence on the influence of Congressional reproductive policy voting patterns on PAC contributions from exogenous variation in the sex mix of legislator offspring.

    Science.gov (United States)

    Conley, Dalton; McCabe, Brian J

    2012-01-01

    Evidence on the relationship between political contributions and legislators' voting behavior is marred by concerns about endogeneity in the estimation process. Using a legislator's offspring sex mix as a truly exogenous variable, we employ an instrumental variable estimation procedure to predict the effect of voting behavior on political contributions. Following previous research, we find that a legislator's proportion daughters has a significant effect on voting behavior for women's issues, as measured by score in the "Congressional Record on Choice" issued by NARAL Pro-Choice America. In the second stage, we make a unique contribution by demonstrating a significant impact of exogenous voting behavior on PAC contributions, lending further credibility to the hypothesis that Political Action Committees respond to legislators' voting patterns by "rewarding" political candidates that vote in line with the positions of the PAC, rather than affecting those same votes - at least in this high-profile policy domain. Copyright © 2011 Elsevier Inc. All rights reserved.

  7. Government instability shifts skin tone representations of and intentions to vote for political candidates.

    Science.gov (United States)

    Stern, Chadly; Balcetis, Emily; Cole, Shana; West, Tessa V; Caruso, Eugene M

    2016-01-01

    Does government stability shift the way White and Black Americans represent and make voting decisions about political candidates? Participants judged how representative lightened, darkened, and unaltered photographs were of a racially ambiguous candidate ostensibly running for political office (Studies 1-3). When the governmental system was presented as stable, White participants who shared (vs. did not share) the candidate's political beliefs rated a lightened photo as more representative of the candidate, and Black participants who shared (vs. did not share) the candidate's political beliefs rated a darkened photo as more representative (Studies 1-3). However, under conditions of instability, both Whites and Blacks who shared (vs. did not share) the candidate's political beliefs rated a lightened photo as more representative (Study 3). Representations of (Studies 2 and 3) and actual differences in (Studies 4a and 4b) skin tone predicted intentions to vote for candidates, as a function of government stability and participants' race. Further evidence suggested that system stability shifted the motivations that guided voting decisions (Study 4a and 4b). When the system was stable, the motivation to enhance one's group predicted greater intentions to vote for lighter skinned candidates among Whites, and greater intentions to vote for darker skinned candidates among Blacks. When the system was unstable, however, lacking confidence in the sociopolitical system predicted intentions to vote for lighter skinned candidates among both Whites and Blacks. Implications for political leadership and social perception are discussed. (c) 2016 APA, all rights reserved).

  8. A Geometrical-based Vertical Gain Correction for Signal Strength Prediction of Downtilted Base Station Antennas in Urban Areas

    DEFF Research Database (Denmark)

    Rodriguez, Ignacio; Nguyen, Huan Cong; Sørensen, Troels Bundgaard

    2012-01-01

    -based extension to standard empirical path loss prediction models can give quite reasonable accuracy in predicting the signal strength from tilted base station antennas in small urban macro-cells. Our evaluation is based on measurements on several sectors in a 2.6 GHz Long Term Evolution (LTE) cellular network......, with electrical antenna downtilt in the range from 0 to 10 degrees, as well as predictions based on ray-tracing and 3D building databases covering the measurement area. Although the calibrated ray-tracing predictions are highly accurate compared with the measured data, the combined LOS/NLOS COST-WI model...

  9. Number of Psychosocial Strengths Predicts Reduced HIV Sexual Risk Behaviors Above and Beyond Syndemic Problems Among Gay and Bisexual Men.

    Science.gov (United States)

    Hart, Trevor A; Noor, Syed W; Adam, Barry D; Vernon, Julia R G; Brennan, David J; Gardner, Sandra; Husbands, Winston; Myers, Ted

    2017-10-01

    Syndemics research shows the additive effect of psychosocial problems on high-risk sexual behavior among gay and bisexual men (GBM). Psychosocial strengths may predict less engagement in high-risk sexual behavior. In a study of 470 ethnically diverse HIV-negative GBM, regression models were computed using number of syndemic psychosocial problems, number of psychosocial strengths, and serodiscordant condomless anal sex (CAS). The number of syndemic psychosocial problems correlated with serodiscordant CAS (RR = 1.51, 95% CI 1.18-1.92; p = 0.001). When adding the number of psychosocial strengths to the model, the effect of syndemic psychosocial problems became non-significant, but the number of strengths-based factors remained significant (RR = 0.67, 95% CI 0.53-0.86; p = 0.002). Psychosocial strengths may operate additively in the same way as syndemic psychosocial problems, but in the opposite direction. Consistent with theories of resilience, psychosocial strengths may be an important set of variables predicting sexual risk behavior that is largely missing from the current HIV behavioral literature.

  10. Predicting ADHD in school age when using the Strengths and Difficulties Questionnaire in preschool age

    DEFF Research Database (Denmark)

    Rimvall, Martin K; Elberling, Hanne; Rask, Charlotte Ulrikka

    2014-01-01

    Indicated prevention of ADHD may reduce impairment and need of treatment in youth. The Strengths and Difficulties Questionnaire (SDQ) is a brief questionnaire assessing child mental health, reported to be a valid screening instrument for concurrent ADHD. This study aimed to examine the validity o...... can identify a group of children with highly increased risk of later being diagnosed and/or treated for ADHD in school age....... of using the SDQ in preschool age to predict ADHD in school age in a longitudinal design. The study population included 2,315 children from the Copenhagen child cohort 2000 with no prior history of clinically diagnosed ADHD, who were assessed at age 5-7 years by the SDQ completed by parents and preschool...... regression analyses estimated the risk of later ADHD diagnosis for screen-positive children. A total of 2.94% of the study population were clinically diagnosed and/or were treated with central stimulants for ADHD before age 11-12. Children with possible/probable disorder according to the SDQ hyperactivity...

  11. Predictive equations for respiratory muscle strength according to international and Brazilian guidelines

    Directory of Open Access Journals (Sweden)

    Isabela M. B. S. Pessoa

    2014-10-01

    Full Text Available Background: The maximum static respiratory pressures, namely the maximum inspiratory pressure (MIP and maximum expiratory pressure (MEP, reflect the strength of the respiratory muscles. These measures are simple, non-invasive, and have established diagnostic and prognostic value. This study is the first to examine the maximum respiratory pressures within the Brazilian population according to the recommendations proposed by the American Thoracic Society and European Respiratory Society (ATS/ERS and the Brazilian Thoracic Association (SBPT. Objective: To establish reference equations, mean values, and lower limits of normality for MIP and MEP for each age group and sex, as recommended by the ATS/ERS and SBPT. Method: We recruited 134 Brazilians living in Belo Horizonte, MG, Brazil, aged 20-89 years, with a normal pulmonary function test and a body mass index within the normal range. We used a digital manometer that operationalized the variable maximum average pressure (MIP/MEP. At least five tests were performed for both MIP and MEP to take into account a possible learning effect. Results: We evaluated 74 women and 60 men. The equations were as follows: MIP=63.27-0.55 (age+17.96 (gender+0.58 (weight, r2 of 34% and MEP= - 61.41+2.29 (age - 0.03(age2+33.72 (gender+1.40 (waist, r2 of 49%. Conclusion: In clinical practice, these equations could be used to calculate the predicted values of MIP and MEP for the Brazilian population.

  12. V4 activity predicts the strength of visual short-term memory representations.

    Science.gov (United States)

    Sligte, Ilja G; Scholte, H Steven; Lamme, Victor A F

    2009-06-10

    Recent studies have shown the existence of a form of visual memory that lies intermediate of iconic memory and visual short-term memory (VSTM), in terms of both capacity (up to 15 items) and the duration of the memory trace (up to 4 s). Because new visual objects readily overwrite this intermediate visual store, we believe that it reflects a weak form of VSTM with high capacity that exists alongside a strong but capacity-limited form of VSTM. In the present study, we isolated brain activity related to weak and strong VSTM representations using functional magnetic resonance imaging. We found that activity in visual cortical area V4 predicted the strength of VSTM representations; activity was low when there was no VSTM, medium when there was a weak VSTM representation regardless of whether this weak representation was available for report or not, and high when there was a strong VSTM representation. Altogether, this study suggests that the high capacity yet weak VSTM store is represented in visual parts of the brain. Allegedly, only some of these VSTM traces are amplified by parietal and frontal regions and as a consequence reside in traditional or strong VSTM. The additional weak VSTM representations remain available for conscious access and report when attention is redirected to them yet are overwritten as soon as new visual stimuli hit the eyes.

  13. Toward more usable electronic voting: testing the usability of a smartphone voting system.

    Science.gov (United States)

    Campbell, Bryan A; Tossell, Chad C; Byrne, Michael D; Kortum, Philip

    2014-08-01

    The goal of this research was to assess the usability of a voting system designed for smart-phones. Smartphones offer remote participation in elections through the use of pervasive technology. Voting on these devices could, among other benefits, increase voter participation while allowing voters to use familiar technology. However, the usability of these systems has not been assessed. A mobile voting system optimized for use on a smartphone was designed and tested against traditional voting platforms for usability. There were no reliable differences between the smartphone-based system and other voting methods in efficiency and perceived usability. More important, though, smartphone owners committed fewer errors on the mobile voting system than on the traditional voting systems. Even with the known limitations of small mobile platforms in both displays and controls, a carefully designed system can provide a usable voting method. Much of the concern about mobile voting is in the area of security; therefore, although these results are promising, security concerns and usability issues arising from mitigating them must be strongly considered. The results of this experiment may help to inform current and future election and public policy officials about the benefits of allowing voters to vote with familiar hardware.

  14. Predictive Ability of the Medicine Ball Chest Throw and Vertical Jump Tests for Determining Muscular Strength and Power in Adolescents

    Science.gov (United States)

    Hackett, Daniel A.; Davies, Timothy B.; Ibel, Denis; Cobley, Stephen; Sanders, Ross

    2018-01-01

    This study examined the predictive ability of the medicine ball chest throw and vertical jump for muscular strength and power in adolescents. One hundred and ninety adolescents participated in this study. Participants performed trials of the medicine ball chest throw and vertical jump, with vertical jump peak power calculated via an estimation…

  15. Impartiality, Friendship-networks and Voting Behavior

    DEFF Research Database (Denmark)

    Charron, Nicholas

    2013-01-01

    What is the extent to which a country's political institutions impact aggregate voting behavior in a comparative perspective? More specifically, are citizens in some countries more inclined vote on the basis of ‘quality’ or ‘merit’ over ‘friendship’ or ‘loyalty’, and if so, why? This paper seeks...... impartial states than those with highly partial institutions. Using several measures of ‘friendship’, I find strong empirical evidence for this claim, even when controlling for myriad alternative factors and taking into account various voting regimes. The analysis gives us new insights on how political...

  16. Shareholders proposals, vote outcome, and board composition

    Directory of Open Access Journals (Sweden)

    Amani Khaled Bouresli

    2008-07-01

    Full Text Available This paper examines the variables that affect vote outcome in shareholder proposals. We found that sponsor identity, proposal type, and board composition play a significant role in determining vote outcome. Furthermore, we found that the interaction between the prior performance with board composition is significant and has a negative coefficient. We conducted nonparametric tests to investigate changes in board’s major characteristics before and after targeting. The results indicate that some changes in management and boards occur after shareholder proposals. These changes, however, are unrelated to variables that impact vote outcome. We conclude that shareholders proposals are not effective at changing company behavior or corporate governance

  17. Quantum anonymous voting with anonymity check

    International Nuclear Information System (INIS)

    Horoshko, Dmitri; Kilin, Sergei

    2011-01-01

    We propose a new protocol for quantum anonymous voting having serious advantages over the existing protocols: it protects both the voters from a curious tallyman and all the participants from a dishonest voter in unconditional way. The central idea of the protocol is that the ballots are given back to the voters after the voting process, which gives a possibility for two voters to check the anonymity of the vote counting process by preparing a special entangled state of two ballots. Any attempt of cheating from the side of the tallyman results in destroying the entanglement, which can be detected by the voters.

  18. Red Rural, Blue Rural: The Geography of Presidential Voting in Rural America

    Science.gov (United States)

    Scala, Dante J.; Johnson, Kenneth M.

    2016-01-01

    Political commentators routinely treat rural America as an undifferentiated bastion of strength for Republicans. In fact, rural America is a deceptively simple term describing a remarkably diverse collection of places encompassing nearly 75 percent of the U.S. land area and 50 million people. Voting trends in this vast area are far from…

  19. Canada Votes: How We Elect Our Government. Second Revised Edition.

    Science.gov (United States)

    Granfield, Linda

    This information book provides a student text on voting procedures in Canada. The short sections provide easy reading on the federal electoral process in Canada. Students read about who can vote, how and when women and minorities won voting rights, the different parties, the voting process --both present and past, and election day happenings.…

  20. Political Broadcast Advertising and Primary Election Voting

    Science.gov (United States)

    Wanat, John

    1974-01-01

    Results of a research project which hypothisized that: Other things being equal, the heavier a candidate's usage of broadcast advertising in a primary election campaign, the greater will be his share of the votes in the election. (Author/HB)

  1. Allegheny County Voting District (2016) Web Map

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This webmap demarcates municipal voting districts in Allegheny County. If viewing this description on the Western Pennsylvania Regional Data Center’s open data...

  2. Allegheny County Voting District (2015) Web Map

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This webmap demarcates municipal voting districts in Allegheny County. If viewing this description on the Western Pennsylvania Regional Data Center’s open data...

  3. Trustworthy Voting: From Machine to System

    NARCIS (Netherlands)

    Paul, N.; Tanenbaum, A.S.

    2009-01-01

    The authors describe an electronic voting approach that takes a system view, incorporating a trustworthy process based on open source software, simplified procedures, and built-in redundant safeguards that prevent tampering. © 2009 IEEE.

  4. Risk of vertebral insufficiency fractures in relation to compressive strength predicted by quantitative computed tomography

    International Nuclear Information System (INIS)

    Biggemann, M.; Hilweg, D.; Seidel, S.; Horst, M.; Brinckmann, P.

    1991-01-01

    Vertebral insufficiency fractures may result from excessive loading of normal and routine loading of osteoporotic spines. Fractures occur when the mechanical load exceeds the vertebral compressive strength, i.e., the maximum load a vertebra can tolerate. Vertebral compressive strength is determined by trabecular bone density and the size of end-plate area. Both parameters can be measured non-invasively by quanti-tative computed tomography (QCT). In 75 patients compressive strength (i.e., trabecular bone density and endplate area) of the vertebra L3 was determined using QCT. In addition, conventional radiographs of the spines were analysed for the prevalence of insufficiency fractures in each case. By relating fracture prevalence to strength, 3 fracture risk groups were found: a high-risk group with strength values of L3 5 kN and a fracture risk near 0 percent. Biomechanical measurements and model calculations indicate that spinal loads of 3 to 4 kN at L3/4 will be common in everyday activities. These data and the results described above suggest that spines with strength values of L3<3 kN are at an extremely high risk of insufficiency fractures in daily life. Advantages of fracture risk assessment by strength determination over risk estimation based on clinically used trabecular bone density measurements are discussed. (author). 18 refs.; 4 figs

  5. The healthy Nordic diet predicts muscle strength 10 years later in old women, but not old men.

    Science.gov (United States)

    Perälä, Mia-Maria; von Bonsdorff, Mikaela B; Männistö, Satu; Salonen, Minna K; Simonen, Mika; Kanerva, Noora; Rantanen, Taina; Pohjolainen, Pertti; Eriksson, Johan G

    2017-07-01

    a number of nutrients have been found to be associated with better muscle strength and mass; however, the role of the whole diet on muscle strength and mass remains still unknown. to examine whether the healthy Nordic diet predicts muscle strength, and mass 10 years later among men and women. about 1,072 participants belong to the Helsinki Birth Cohort Study, born 1934-44. Diet was assessed with a validated food-frequency questionnaire during 2001-04. The Nordic diet score (NDS) was calculated. The score included Nordic fruits, vegetables, cereals, ratio of polyunsaturated to saturated fatty acids, low-fat milk, fish, red meat, total fat and alcohol. Higher scores indicated better adherence to the healthy Nordic diet. Hand grip strength, leg strength (knee extension) and muscle mass were measured during the follow-up, between 2011 and 2013. in women, each 1-unit increase in the NDS was related to 1.83 N greater leg strength (95% confidence interval [CI] 0.14-3.51; P = 0.034), and 1.44 N greater hand grip strength (95% CI: 0.04-2.84; P = 0.044). Women in the highest quartile of the NDS had on average 20.0 N greater knee extension results, and 14.2 N greater hand grip results than those in the lowest quartile. No such associations were observed among men. The NDS was not significantly related to muscle mass either in men or women. adherence to the healthy Nordic diet seems to protect from weaker muscle strength in old women. Therefore, the healthy Nordic diet may help to prevent disability. © The Author 2017. Published by Oxford University Press on behalf of the British Geriatrics Society.All rights reserved. For permissions, please email: journals.permissions@oup.com

  6. Civitas: Toward a Secure Voting System

    Science.gov (United States)

    2008-05-01

    voting, we believe that remote vot- ing is the right problem to solve. One of our goals was therefore to strike a reasonable compromise between enabling...versions of this work. References [1] Ben Adida . Advances in Cryptographic Voting Systems. PhD thesis, MIT, Aug. 2006. [2] Roberto Araújo, Sébastien...3] Association for Computing Machinery. SIG elections. http://www.acm.org/sigs/elections, 2007. [4] Jonathan Bannet, David W. Price , Algis Rudys

  7. Open your eyes and vote!

    CERN Multimedia

    Rebecca Leam

    The CERN film-making club is organizing the second edition of the CinéGlobe International Short Film Festival and everyone is invited to attend a series of selection screenings in November to vote on which they like and think should be publicly shown in the Globe and at the Forum Meyrin in February 2010.   This year over 700 short films were submitted for three competitions: the majority for the general fiction category for films up to ten minutes in length, and others for science fiction (20 minutes) and science documentary (30 minutes). “In 2007 we had just one competition open to films from any genre. We decided to add the science related competitions to the second edition to make a stronger link with CERN as a physics lab,” explained Quentin King, Chairman of the Selection Committee and member of CERN’s film-making club, Open Your Eyes Films. “The entries are extremely diverse and touch on almost every aspect of life. The creativity of short...

  8. The mathematics of elections and voting

    CERN Document Server

    Wallis, W D

    2014-01-01

    The Mathematics of Elections and Voting  takes an in-depth look at the mathematics in the context of voting and electoral systems, with focus on simple ballots, complex elections, fairness, approval voting, ties, fair and unfair voting, and manipulation techniques. The exposition opens with a sketch of the mathematics behind the various methods used in conducting elections. The reader is lead to a comprehensive picture of the theoretical background of mathematics and elections through an analysis of Condorcet’s Principle and Arrow’s Theorem of conditions in electoral fairness. Further detailed discussion of various related topics include: methods of manipulating the outcome of an election, amendments, and voting on small committees. In recent years, electoral theory has been introduced into lower-level mathematics courses, as a way to illustrate the role of mathematics in our everyday life.  Few books have studied voting and elections from a more formal mathematical viewpoint.  This text wi...

  9. Imagining class: A study into material social class position, subjective identification, and voting behavior across Europe.

    Science.gov (United States)

    D'Hooge, Lorenzo; Achterberg, Peter; Reeskens, Tim

    2018-02-01

    The traditional approach to class voting has largely ignored the question whether material class positions coincide with subjective class identification. Following Sosnaud et al. (2013), this study evaluates party preferences when Europeans' material and subjective social class do not coincide. Seminal studies on voting behavior have suggested that members of lower classes are more likely to vote for the economic left and cultural right and that higher classes demonstrate the opposite pattern. Yet, these studies have on the one hand overlooked the possibility that there is a mismatch between the material class people can be classified in and the class they think they are part of, and on the other hand the consequences of this discordant class identification on voting behavior. Analyzing the 2009 wave of the European Elections Study, we find that the majority of the Europeans discordantly identify with the middle class, whereas only a minority of the lower and higher classes concordantly identify with their material social class. Further, material class only seems to predict economic voting behavior when it coincides with subjective class; for instance, individuals who have an inflated class identification are more likely to vote for the economic left, even when they materially can be classified as middle or high class. We conclude this paper with a discussion on scholarly debates concerning class and politics. Copyright © 2017 Elsevier Inc. All rights reserved.

  10. Do voluntary strength, proprioception, range of motion, or postural sway predict occurrence of lateral ankle sprain?

    OpenAIRE

    de Noronha, M; Refshauge, K M; Herbert, R D; Kilbreath, S L

    2006-01-01

    Prevention of ankle sprain, the most common sporting injury, is only possible once risk factors have been identified. Voluntary strength, proprioception, postural sway, and range of motion are possible risk factors. A systematic review was carried out to investigate these possiblities. Eligible studies were those with longitudinal design investigating ankle sprain in subjects aged ⩾15 years. The studies had to have measured range of motion, voluntary strength, proprioception, or postural sway...

  11. Clinical tests of ankle plantarflexor strength do not predict ankle power generation during walking.

    Science.gov (United States)

    Kahn, Michelle; Williams, Gavin

    2015-02-01

    The aim of this study was to investigate the relationship between a clinical test of ankle plantarflexor strength and ankle power generation (APG) at push-off during walking. This is a prospective cross-sectional study of 102 patients with traumatic brain injury. Handheld dynamometry was used to measure ankle plantarflexor strength. Three-dimensional gait analysis was performed to quantify ankle power generation at push-off during walking. Ankle plantarflexor strength was only moderately correlated with ankle power generation at push-off (r = 0.43, P < 0.001; 95% confidence interval, 0.26-0.58). There was also a moderate correlation between ankle plantarflexor strength and self-selected walking velocity (r = 0.32, P = 0.002; 95% confidence interval, 0.13-0.48). Handheld dynamometry measures of ankle plantarflexor strength are only moderately correlated with ankle power generation during walking. This clinical test of ankle plantarflexor strength is a poor predictor of calf muscle function during gait in people with traumatic brain injury.

  12. Using Anisotropic 3D Minkowski Functionals for Trabecular Bone Characterization and Biomechanical Strength Prediction in Proximal Femur Specimens

    Science.gov (United States)

    Nagarajan, Mahesh B.; De, Titas; Lochmüller, Eva-Maria; Eckstein, Felix; Wismüller, Axel

    2017-01-01

    The ability of Anisotropic Minkowski Functionals (AMFs) to capture local anisotropy while evaluating topological properties of the underlying gray-level structures has been previously demonstrated. We evaluate the ability of this approach to characterize local structure properties of trabecular bone micro-architecture in ex vivo proximal femur specimens, as visualized on multi-detector CT, for purposes of biomechanical bone strength prediction. To this end, volumetric AMFs were computed locally for each voxel of volumes of interest (VOI) extracted from the femoral head of 146 specimens. The local anisotropy captured by such AMFs was quantified using a fractional anisotropy measure; the magnitude and direction of anisotropy at every pixel was stored in histograms that served as a feature vectors that characterized the VOIs. A linear multi-regression analysis algorithm was used to predict the failure load (FL) from the feature sets; the predicted FL was compared to the true FL determined through biomechanical testing. The prediction performance was measured by the root mean square error (RMSE) for each feature set. The best prediction performance was obtained from the fractional anisotropy histogram of AMF Euler Characteristic (RMSE = 1.01 ± 0.13), which was significantly better than MDCT-derived mean BMD (RMSE = 1.12 ± 0.16, p<0.05). We conclude that such anisotropic Minkowski Functionals can capture valuable information regarding regional trabecular bone quality and contribute to improved bone strength prediction, which is important for improving the clinical assessment of osteoporotic fracture risk. PMID:29170581

  13. Predicting Folding Sequences Based on the Maximum Rock Strength and Mechanical Equilibrium

    Science.gov (United States)

    Cubas, N.; Souloumiac, P.; Maillot, B.; Leroy, Y. M.

    2007-12-01

    The objective is to propose and validate simple procedures, compared to the finite-element method, to select and optimize the dominant mode of folding in fold-and-thrust belts and accretionary wedges, and to determine its stress distribution. Mechanical equilibrium as well as the constraints due to the limited rock strength of the bulk material and of major discontinuities, such as décollements, are accounted for. The first part of the proposed procedure, which is at the core of the external approach of classical limit analysis, consists in estimating the least upper bound on the tectonic force by minimisation of the internal dissipation and part of the external work. The new twist to the method is that the optimization is also done with respect to the geometry of the evolving fold. If several folding events are possible, the dominant mode is the one leading to the least upper bound. The second part of the procedure is based on the Equilibrium Element Method, which is an application of the internal approach of limit analysis. The optimum stress field, obtained by spatial discretisation of the fold, provides the best lower bound on the tectonic force. The difference between the two bounds defines an error estimate of the exact unknown tectonic force. To show the merits of the proposed procedure, its first part is applied to predict the life span of a thrust within an accretionary prism, from its onset, its development with a relief build up and its arrest because of the onset of a more favorable new thrust (Cubas et al., 2007). This life span is sensitive to the friction angles over the ramp and the décollement. It is shown how the normal sequence of thrusting in a supercritical wedge is ended with the first out-of sequence event. The second part of the procedure provides the stress state over each thrust showing that the active back thrust is a narrow fan which dip is sensitive to the friction angle over the ramp and the amount of relief build up (Souloumiac et

  14. Prediction of shear and tensile strength of the diffusion bonded AA5083 and AA7075 aluminium alloy using ANN

    International Nuclear Information System (INIS)

    Sagai Francis Britto, A.; Raj, R. Edwin; Mabel, M. Carolin

    2017-01-01

    Diffusion bonding is a pressure welding technique to establish bonds by inter diffusion of atoms. Bonding characteristics were generated by varying the significant process conditions such as the bonding temperature, the pressing load and the duration of pressure while bonding the aluminium alloys AA5083 and AA7075. Deriving analytical correlation with the process variables to weld strength is quite involved due to the non-linear dependency of the process variables with the mechanical strength of the joints. An arbitrary function approximation mechanism, the artificial neural network (ANN) is therefore employed to develop the models for predicting the mechanical properties of the bonded joints. Back propagation technique, which alters the network weights to minimize the mean square error was used to develop the ANN models. The models were tested, validated and found to be satisfactory with good prediction accuracy.

  15. Prediction of shear and tensile strength of the diffusion bonded AA5083 and AA7075 aluminium alloy using ANN

    Energy Technology Data Exchange (ETDEWEB)

    Sagai Francis Britto, A. [Department of Mechanical Engineering, St.Xavier' s Catholic College of Engineering, Nagercoil 629003,Tamil Nadu (India); Raj, R. Edwin, E-mail: redwinraj@gmail.com [Department of Mechanical Engineering, St.Xavier' s Catholic College of Engineering, Nagercoil 629003,Tamil Nadu (India); Mabel, M. Carolin [Department of Electrical and Electronics Engineering, St.Xavier' s Catholic College of Engineering, Nagercoil 629003,Tamil Nadu (India)

    2017-04-24

    Diffusion bonding is a pressure welding technique to establish bonds by inter diffusion of atoms. Bonding characteristics were generated by varying the significant process conditions such as the bonding temperature, the pressing load and the duration of pressure while bonding the aluminium alloys AA5083 and AA7075. Deriving analytical correlation with the process variables to weld strength is quite involved due to the non-linear dependency of the process variables with the mechanical strength of the joints. An arbitrary function approximation mechanism, the artificial neural network (ANN) is therefore employed to develop the models for predicting the mechanical properties of the bonded joints. Back propagation technique, which alters the network weights to minimize the mean square error was used to develop the ANN models. The models were tested, validated and found to be satisfactory with good prediction accuracy.

  16. Prediction Of Tensile And Shear Strength Of Friction Surfaced Tool Steel Deposit By Using Artificial Neural Networks

    Science.gov (United States)

    Manzoor Hussain, M.; Pitchi Raju, V.; Kandasamy, J.; Govardhan, D.

    2018-04-01

    Friction surface treatment is well-established solid technology and is used for deposition, abrasion and corrosion protection coatings on rigid materials. This novel process has wide range of industrial applications, particularly in the field of reclamation and repair of damaged and worn engineering components. In this paper, we present the prediction of tensile and shear strength of friction surface treated tool steel using ANN for simulated results of friction surface treatment. This experiment was carried out to obtain tool steel coatings of low carbon steel parts by changing contribution process parameters essentially friction pressure, rotational speed and welding speed. The simulation is performed by a 33-factor design that takes into account the maximum and least limits of the experimental work performed with the 23-factor design. Neural network structures, such as the Feed Forward Neural Network (FFNN), were used to predict tensile and shear strength of tool steel sediments caused by friction.

  17. The Relationship between Voting Knowledge and Voting Attitudes of Selected Ninth and Tenth Grade Students.

    Science.gov (United States)

    Golden, Kathleen

    1985-01-01

    A study showed that the acquisition of voting knowledge in a civics class positively influenced ninth- and tenth-grade students' attitudes toward voting. Teachers should give students a solid foundation concerning the electoral process and encourage students to participate in the political process. (RM)

  18. GPU-Vote: A Framework for Accelerating Voting Algorithms on GPU.

    NARCIS (Netherlands)

    Braak, van den G.J.W.; Nugteren, C.; Mesman, B.; Corporaal, H.; Kaklamanis, C.; Papatheodorou, T.; Spirakis, P.G.

    2012-01-01

    Voting algorithms, such as histogram and Hough transforms, are frequently used algorithms in various domains, such as statistics and image processing. Algorithms in these domains may be accelerated using GPUs. Implementing voting algorithms efficiently on a GPU however is far from trivial due to

  19. Experimental Investigation and Prediction of Compressive Strength of Ultra-High Performance Concrete Containing Supplementary Cementitious Materials

    Directory of Open Access Journals (Sweden)

    Jisong Zhang

    2017-01-01

    Full Text Available Ultra-high performance concrete (UHPC has superior mechanical properties and durability to normal strength concrete. However, the high amount of cement, high environmental impact, and initial cost are regarded as disadvantages, restricting its wider application. Incorporation of supplementary cementitious materials (SCMs in UHPC is an effective way to reduce the amount of cement needed while contributing to the sustainability and cost. This paper investigates the mechanical properties and microstructure of UHPC containing fly ash (FA and silica fume (SF with the aim of contributing to this issue. The results indicate that, on the basis of 30% FA replacement, the incorporation of 10% and 20% SF showed equivalent or higher mechanical properties compared to the reference samples. The microstructure and pore volume of the UHPCs were also examined. Furthermore, to minimise the experimental workload of future studies, a prediction model is developed to predict the compressive strength of the UHPC using artificial neural networks (ANNs. The results indicate that the developed ANN model has high accuracy and can be used for the prediction of the compressive strength of UHPC with these SCMs.

  20. Strength Prediction and Failure Modes of Concrete Specimens Subjected to the Split Test

    DEFF Research Database (Denmark)

    Hoang, Linh Cao; Andersen, M.E.; Hansen, N.T.

    2014-01-01

    This paper deals with modelling and test of concrete specimens subjected to the Brazilian split test. Based on the fictitious crack concept, a simple model for the crack propagation process in the splitting plane is developed. From the model, it is possible to determine the distribution of residual...... tensile strength as crack propagation take place. The residual tensile strength is thereafter used in a rigid plastic analysis of the splitting failure. Based on this combined approach, the ultimate load may either be governed by crack propagation or by a plastic failure, which then terminates the crack...

  1. Development of a method to accurately calculate the Dpb and quickly predict the strength of a chemical bond

    International Nuclear Information System (INIS)

    Du, Xia; Zhao, Dong-Xia; Yang, Zhong-Zhi

    2013-01-01

    Highlights: ► A method from new respect to characterize and measure the bond strength is proposed. ► We calculate the D pb of a series of various bonds to justify our approach. ► A quite good linear relationship of the D pb with the bond lengths for series of various bonds is shown. ► Take the prediction of strengths of C–H and N–H bonds for base pairs in DNA as a practical application of our method. - Abstract: A new approach to characterize and measure bond strength has been developed. First, we propose a method to accurately calculate the potential acting on an electron in a molecule (PAEM) at the saddle point along a chemical bond in situ, denoted by D pb . Then, a direct method to quickly evaluate bond strength is established. We choose some familiar molecules as models for benchmarking this method. As a practical application, the D pb of base pairs in DNA along C–H and N–H bonds are obtained for the first time. All results show that C 7 –H of A–T and C 8 –H of G–C are the relatively weak bonds that are the injured positions in DNA damage. The significance of this work is twofold: (i) A method is developed to calculate D pb of various sizable molecules in situ quickly and accurately; (ii) This work demonstrates the feasibility to quickly predict the bond strength in macromolecules

  2. The power of habits: unhealthy snacking behaviour is primarily predicted by habit strength.

    Science.gov (United States)

    Verhoeven, Aukje A C; Adriaanse, Marieke A; Evers, Catharine; de Ridder, Denise T D

    2012-11-01

    Although increasing evidence shows the importance of habits in explaining health behaviour, many studies still rely solely on predictors that emphasize the role of conscious intentions. The present study was designed to test the importance of habit strength in explaining unhealthy snacking behaviour in a large representative community sample (N= 1,103). To test our hypothesis that habits are crucial when explaining unhealthy snacking behaviour, their role was compared to the 'Power of Food', a related construct that addresses sensitivity to food cues in the environment. Moreover, the relation between Power of Food and unhealthy snacking habits was assessed. A prospective design was used to determine the impact of habits in relation to intention, Power of Food and a number of demographic variables. One month after filling out the questionnaire, including measures of habit strength and Power of Food, participants reported their unhealthy snacking behaviour by means of a 7-day snack diary. Results showed that habit strength was the most important predictor, outperforming all other variables in explaining unhealthy snack intake. The findings demonstrate that snacking habits provide a unique contribution in explaining unhealthy snacking behaviour, stressing the importance of addressing habit strength in further research and interventions concerning unhealthy snacking behaviour. ©2012 The British Psychological Society.

  3. The power of habits : Unhealthy snacking behaviour is primarily predicted by habit strength

    NARCIS (Netherlands)

    Verhoeven, A.A.C.; Adriaanse, M.A.; Evers, C.; de Ridder, D.T.D.

    2012-01-01

    Objective. Although increasing evidence shows the importance of habits in explaining health behaviour, many studies still rely solely on predictors that emphasize the role of conscious intentions. The present study was designed to test the importance of habit strength in explaining unhealthy

  4. Weldability prediction of high strength steel S960QL after weld thermal cycle simulation

    Directory of Open Access Journals (Sweden)

    M. Dunđer

    2014-10-01

    Full Text Available This paper presents weld thermal cycle simulation of high strength steel S960QL, and describes influence of cooling time t8/5 on hardness and impact toughness of weld thermal cycle simulated specimens. Furthermore, it presents analysis of characteristic fractions done by electron scanning microscope which can contribute to determination of welding parameters for S960QL steel.

  5. An ultrasonic technique for predicting tensile strength of southern pine lumber

    Science.gov (United States)

    D. Rajeshwar; D.A. Bender; D.E. Bray; K.A. McDonald

    1997-01-01

    The goal of this research was to develop nondestructive evaluation (NDE) technology to enhance mechanical stress rating of lumber. An ultrasonic NDE technique was developed that is sensitive to grain angle and edge knots in lumber - two primary determinants of lumber strength. The presence of edge knots increased the acoustic wave travel time and selectively...

  6. Attachment Strength and Relationship Expectancies in the Prediction of Adolescent Stress and Depression

    Science.gov (United States)

    Goh, Yun Lin Daphne; Wilkinson, Ross B.

    2017-01-01

    Interpersonal relationships are the recent focus of research identifying protective factors in adolescent psychological health. Using an attachment theory perspective, this study examines the relationship of normative attachment strength and individual differences in attachment expectancies on self-reports of depression and stress in 511…

  7. Do Psychosocial Factors Predict Muscle Strength, Pain, or Physical Performance in Patients With Knee Osteoarthritis?

    Science.gov (United States)

    Baert, Isabel A C; Meeus, Mira; Mahmoudian, Armaghan; Luyten, Frank P; Nijs, Jo; Verschueren, Sabine M P

    2017-09-01

    The aim of this study was to examine the relationship of psychosocial factors, namely, pain catastrophizing, kinesiophobia, and maladaptive coping strategies, with muscle strength, pain, and physical performance in patients with knee osteoarthritis (OA)-related symptoms. A total of 109 women (64 with knee OA-related symptoms) with a mean age of 65.4 years (49-81 years) were recruited for this study. Psychosocial factors were quantified by the Pain Catastrophizing Scale, Tampa Scale for Kinesiophobia, and Pain Coping Inventory. Clinical features were assessed using isometric and isokinetic knee muscle strength measurements, visual analog scale, Western Ontario and McMaster Universities Osteoarthritis Index, and functional tests. Associations were examined using correlation and regression analysis. In knee OA patients, pain catastrophizing, kinesiophobia, and coping strategy explained a significant proportion of the variability in isometric knee extension and flexion strength (6.3%-9.2%), accounting for more overall variability than some demographic and medical status variables combined. Psychosocial factors were not significant independent predictors of isokinetic strength, knee pain, or physical performance. In understanding clinical features related to knee OA, such as muscle weakness, pain catastrophizing, kinesiophobia, and coping strategy might offer something additional beyond what might be explained by traditional factors, underscoring the importance of a biopsychosocial approach in knee OA management. Further research on individual patient characteristics that mediate the effects of psychosocial factors is, however, required in order to create opportunities for more targeted, personalized treatment for knee OA.

  8. Use of gamma ray strength functions for predicting the neutron capture cross section of 88Y

    International Nuclear Information System (INIS)

    Gardner, D.G.; Gardner, M.A.

    1977-01-01

    The present study indicates that the estimation of the gamma-ray strength function is the approach least subject to error when unmeasured capture cross sections are to be computed. An estimate is given for the 88 γ(n,γ) cross section

  9. Prediction of compression strength of high performance concrete using artificial neural networks

    International Nuclear Information System (INIS)

    Torre, A; Moromi, I; Garcia, F; Espinoza, P; Acuña, L

    2015-01-01

    High-strength concrete is undoubtedly one of the most innovative materials in construction. Its manufacture is simple and is carried out starting from essential components (water, cement, fine and aggregates) and a number of additives. Their proportions have a high influence on the final strength of the product. This relations do not seem to follow a mathematical formula and yet their knowledge is crucial to optimize the quantities of raw materials used in the manufacture of concrete. Of all mechanical properties, concrete compressive strength at 28 days is most often used for quality control. Therefore, it would be important to have a tool to numerically model such relationships, even before processing. In this aspect, artificial neural networks have proven to be a powerful modeling tool especially when obtaining a result with higher reliability than knowledge of the relationships between the variables involved in the process. This research has designed an artificial neural network to model the compressive strength of concrete based on their manufacturing parameters, obtaining correlations of the order of 0.94

  10. Sex, race, gender, and the presidential vote

    Directory of Open Access Journals (Sweden)

    Susan B. Hansen

    2016-12-01

    Full Text Available Racial resentment has been shown to have a significant impact on voting by whites in recent presidential elections, and a much larger impact than the traditional gender-gap measure based on the male-female dichotomy. This analysis will use data from the American National Election Studies [ANES] to compare broader indicators of race and gender applicable to the Democratic and Republican parties as well as to respondents’ opinions of appropriate roles for women. Since the 1980s the parties have diverged considerably on abortion and women’s issues, and voters now view the Democrats as more supportive than Republicans of equality for women and reproductive rights. Perceptions of party differences on women’s issues strongly influenced vote choice, 1988–2008, and in 2008 had greater impact on whites’ votes than opinions on aid to blacks, abortion, gay marriage, or the economy. Although racial resentment was a strong predictor of the white vote in 2012 as in previous years, presidential voting was also significantly influenced by respondent sex as well as opinions on gender roles. Voters regarded the Democratic Party as “better for the interests of women,” and this proved to be a highly effective wedge issue for the Democrats in 2012.

  11. Vote Buying In Lampung Local Election

    Directory of Open Access Journals (Sweden)

    Robi Cahyadi Kurniawan

    2017-12-01

    Full Text Available Vote buying in elections, both general elections and local elections is a phenomenon in Indonesian politics. Lampung Province has implemented direct elections simultaneously in December 2015 and February 2017. This study explains that vote buying can change voter choice in three regional head elections in Lampung Province. This study was conducted with the object of research residing in Way Kanan District on July 2014, Pringsewu District on February 2016 and Bandar Lampung City on November 2015. This study used a survey approach, using stratified random sampling method. The survey conducted on 662 respondents in each county or district and city object being studied. The results show that voters believe that vote buying will happen in local elections.Voters may be influenced their choice if given relief goods, gifts of money or the provision of project. The thesis in this study is vote buying can change voting choice of voters.

  12. Dysphagia risk, low muscle strength and poor cognition predict malnutrition risk in older adults athospital admission.

    Science.gov (United States)

    Chatindiara, Idah; Allen, Jacqueline; Popman, Amy; Patel, Darshan; Richter, Marilize; Kruger, Marlena; Wham, Carol

    2018-03-21

    Malnutrition in patients admitted to hospital may have detrimental effects on recovery and healing. Malnutrition is preceded by a state of malnutrition risk, yet malnutrition risk is often not detected during admission. The aim of the current study was to investigate the magnitude and potential predictors of malnutrition risk in older adults, at hospital admission. A cross-sectional was study conducted in 234 older adults (age ≥ 65 or ≥ 55 for Māori or Pacific ethnicity) at admission to hospital in Auckland, New Zealand. Assessment of malnutrition risk status was performed using the Mini Nutritional Assessment Short-Form (MNA®-SF), dysphagia risk by the Eating Assessment Tool (EAT-10), muscle strength by hand grip strength and cognitive status by the Montreal Cognitive Assessment (MoCA) tool. Among 234 participants, mean age 83.6 ± 7.6 years, 46.6% were identified as at malnutrition risk and 26.9% malnourished. After adjusting for age, gender and ethnicity, the study identified [prevalence ratio (95% confidence interval)] high dysphagia risk [EAT-10 score: 0.98 (0.97-0.99)], low body mass index [kg/m 2 : 1.02 (1.02-1.03)], low muscle strength [hand grip strength, kg: 1.01 (1.00-1.02)] and decline in cognition [MoCA score: 1.01 (1.00-1.02)] as significant predictors of malnutrition risk in older adults at hospital admission. Among older adults recently admitted to the hospital, almost three-quarters were malnourished or at malnutrition risk. As the majority (88%) of participants were admitted from the community, this illustrates the need for routine nutrition screening both at hospital admission and in community-dwelling older adults. Factors such as dysphagia, unintentional weight loss, decline in muscle strength, and poor cognition may indicate increased risk of malnutrition.

  13. Prediction of the Dynamic Yield Strength of Metals Using Two Structural-Temporal Parameters

    Science.gov (United States)

    Selyutina, N. S.; Petrov, Yu. V.

    2018-02-01

    The behavior of the yield strength of steel and a number of aluminum alloys is investigated in a wide range of strain rates, based on the incubation time criterion of yield and the empirical models of Johnson-Cook and Cowper-Symonds. In this paper, expressions for the parameters of the empirical models are derived through the characteristics of the incubation time criterion; a satisfactory agreement of these data and experimental results is obtained. The parameters of the empirical models can depend on some strain rate. The independence of the characteristics of the incubation time criterion of yield from the loading history and their connection with the structural and temporal features of the plastic deformation process give advantage of the approach based on the concept of incubation time with respect to empirical models and an effective and convenient equation for determining the yield strength in a wider range of strain rates.

  14. Isokinetic strength testing does not predict hamstring injury in Australian Rules footballers

    OpenAIRE

    Bennell, K.; Wajswelner, H.; Lew, P.; Schall-Riaucour, A.; Leslie, S.; Plant, D.; Cirone, J.

    1998-01-01

    OBJECTIVE: To determine the relation of hamstring and quadriceps muscle strength and imbalance to hamstring injury using a prospective observational cohort study METHOD: A total of 102 senior male Australian Rules footballers aged 22.2 (3.6) years were tested at the start of a football season. Maximum voluntary concentric and eccentric torque of the hamstring and quadriceps muscles of both legs was assessed using a Kin-Com isokinetic dynamometer at angular velocities of 60 and 180 degre...

  15. Anchorage strength models for end-debonding predictions in RC beams strengthened with FRP composites

    Science.gov (United States)

    Nardini, V.; Guadagnini, M.; Valluzzi, M. R.

    2008-05-01

    The increase in the flexural capacity of RC beams obtained by externally bonding FRP composites to their tension side is often limited by the premature and brittle debonding of the external reinforcement. An in-depth understanding of this complex failure mechanism, however, has not yet been achieved. With specific regard to end-debonding failure modes, extensive experimental observations reported in the literature highlight the important distinction, often neglected in strength models proposed by researchers, between the peel-off and rip-off end-debonding types of failure. The peel-off failure is generally characterized by a failure plane located within the first few millimetres of the concrete cover, whilst the rip-off failure penetrates deeper into the concrete cover and propagates along the tensile steel reinforcement. A new rip-off strength model is described in this paper. The model proposed is based on the Chen and Teng peel-off model and relies upon additional theoretical considerations. The influence of the amount of the internal tensile steel reinforcement and the effective anchorage length of FRP are considered and discussed. The validity of the new model is analyzed further through comparisons with test results, findings of a numerical investigation, and a parametric study. The new rip-off strength model is assessed against a database comprising results from 62 beams tested by various researchers and is shown to yield less conservative results.

  16. Electoral system, pesonal votes, and party choice

    DEFF Research Database (Denmark)

    Thomsen, Søren Risbjerg

    Using local elections in Denmark as an example this paper shows that individual party choice is influenced both by individual level, municipality level, and national level characteristics. Some hypotheses about the effects of the electoral system on personal votes derived from a theory by Carey...... & Shugart (1995) are first tested using a fixed-effects model. The effect of the personal reputation of the candidates, measured by personal votes, on party choice is then tested using a multilevel multinomial logit model suggested by Rabe-Hesketh and Skrondal (2008). The paper shows that both the electoral...

  17. Multicriteria decision-making analysis based methodology for predicting carbonate rocks' uniaxial compressive strength

    Directory of Open Access Journals (Sweden)

    Ersoy Hakan

    2012-10-01

    Full Text Available

    ABSTRACT

    Uniaxial compressive strength (UCS deals with materials' to ability to withstand axially-directed pushing forces and especially considered to be rock materials' most important mechanical properties. However, the UCS test is an expensive, very time-consuming test to perform in the laboratory and requires high-quality core samples having regular geometry. Empirical equations were thus proposed for predicting UCS as a function of rocks' index properties. Analytical hierarchy process and multiple regression analysis based methodology were used (as opposed to traditional linear regression methods on data-sets obtained from carbonate rocks in NE Turkey. Limestone samples ranging from Devonian to late Cretaceous ages were chosen; travertine-onyx samples were selected from morphological environments considering their surface environmental conditions Test results from experiments carried out on about 250 carbonate rock samples were used in deriving the model. While the hierarchy model focused on determining the most important index properties affecting on UCS, regression analysis established meaningful relationships between UCS and index properties; 0. 85 and 0. 83 positive coefficient correlations between the variables were determined by regression analysis. The methodology provided an appropriate alternative to quantitative estimation of UCS and avoided the need for tedious and time consuming laboratory testing


    RESUMEN

    La resistencia a la compresión uniaxial (RCU trata con la capacidad de los materiales para soportar fuerzas empujantes dirigidas axialmente y, especialmente, es considerada ser uno de las más importantes propiedades mecánicas de

  18. Cognitive Properties of Approval Voting : an Experimental Approach

    Directory of Open Access Journals (Sweden)

    Krzysztof Przybyszewski

    2011-01-01

    Full Text Available The paper summarizes two series of experiments demonstrating the cognitive properties of approval voting. The former series is devoted to mental processes induced in decision makers who use the method of approval voting. Based on cognitive effort, the use of choice strategies is presented in this paper. The observations of respondents show that most of them use relatively effortless strategy of eliminating alternatives and attributes. Few respondents use more sophisticated methods. The other series of experiments analyses the number of alternatives chosen in approval voting. It appears that the average number is not constant, even for similar votes but it depends on the subject of voting. The number of chosen alternatives and the subjective significance of the scope of voting are negatively or positively correlated in the case of special votes. The analyzed experiments show that the cognitive properties of approval voting have a diverse structure. (original abstract

  19. Strength of Structural and Functional Frontostriatal Connectivity Predicts Self-Control in the Healthy Elderly

    Science.gov (United States)

    Hänggi, Jürgen; Lohrey, Corinna; Drobetz, Reinhard; Baetschmann, Hansruedi; Forstmeier, Simon; Maercker, Andreas; Jäncke, Lutz

    2016-01-01

    Self-regulation refers to the successful use of executive functions and initiation of top-down processes to control one's thoughts, behavior, and emotions, and it is crucial to perform self-control. Self-control is needed to overcome impulses and can be assessed by delay of gratification (DoG) and delay discounting (DD) paradigms. In children/adolescents, good DoG/DD ability depends on the maturity of frontostriatal connectivity, and its decline in strength with advancing age might adversely affect self-control because prefrontal brain regions are more prone to normal age-related atrophy than other regions. Here, we aimed at highlighting the relationship between frontostriatal connectivity strength and DoG performance in advanced age. We recruited 40 healthy elderly individuals (mean age 74.0 ± 7.7 years) and assessed the DoG ability using the German version of the DoG test for adults in addition to the delay discounting (DD) paradigm. Based on diffusion-weighted and resting-state functional magnetic resonance imaging data, respectively, the structural and functional whole-brain connectome were reconstructed based on 90 different brain regions of interest in addition to a 12-node frontostriatal DoG-specific network and the resulting connectivity matrices were subjected to network-based statistics. The 90-nodes whole-brain connectome analyses revealed subnetworks significantly associated with DoG and DD with a preponderance of frontostriatal nodes involved suggesting a high specificity of the findings. Structural and functional connectivity strengths between the putamen, caudate nucleus, and nucleus accumbens on the one hand and orbitofrontal, dorsal, and ventral lateral prefrontal cortices on the other hand showed strong positive correlations with DoG and negative correlations with DD corrected for age, sex, intracranial volume, and head motion parameters. These associations cannot be explained by differences in impulsivity and executive functioning. This pattern

  20. Predicting the drying shrinkage behavior of high strength portland cement mortar under the combined influence of fine aggregate and steel micro fiber

    International Nuclear Information System (INIS)

    Li, Zhengqi

    2017-01-01

    The workability, 28-day compressive strength and free drying shrinkage of a very high strength (121-142 MPa) steel micro fiber reinforced portland cement mortar were studied under a combined influence of fine aggregate content and fiber content. The test results showed that an increase in the fine aggregate content resulted in decreases in the workability, 28-day compressive strength and drying shrinkage of mortar at a fixed fiber content. An increase in the fiber content resulted in decreases in the workability and drying shrinkage of mortar, but an increase in the 28-day compressive strength of mortar at a fixed fine aggregate content. The modified Gardner model most accurately predicted the drying shrinkage development of the high strength mortars, followed by the Ross model and the ACI 209R-92 model. The Gardner model gave the least accurate prediction for it was developed based on a database of normal strength concrete. [es

  1. Predicting the drying shrinkage behavior of high strength portland cement mortar under the combined influence of fine aggregate and steel micro fiber

    Directory of Open Access Journals (Sweden)

    Zhengqi Li

    2017-03-01

    Full Text Available The workability, 28-day compressive strength and free drying shrinkage of a very high strength (121-142 MPa steel micro fiber reinforced portland cement mortar were studied under a combined influence of fine aggregate content and fiber content. The test results showed that an increase in the fine aggregate content resulted in decreases in the workability, 28-day compressive strength and drying shrinkage of mortar at a fixed fiber content. An increase in the fiber content resulted in decreases in the workability and drying shrinkage of mortar, but an increase in the 28-day compressive strength of mortar at a fixed fine aggregate content. The modified Gardner model most accurately predicted the drying shrinkage development of the high strength mortars, followed by the Ross model and the ACI 209R-92 model. The Gardner model gave the least accurate prediction for it was developed based on a database of normal strength concrete.

  2. Political Economy of Committee Voting and Its Application

    OpenAIRE

    Takagi, Yuki

    2012-01-01

    This dissertation consists of three essays on information aggregation in committees and its application. The first essay analyzes how the distribution of votes affects the accuracy of group decisions. In a weighted voting system, votes are typically assigned based on the criteria that are unrelated to the voters’ ability to make a correct judgment. I introduce an information aggregation model in which voters are identical except for voting shares. If the information is free, the optimal weigh...

  3. Strengths and weaknesses of EST-based prediction of tissue-specific alternative splicing

    Directory of Open Access Journals (Sweden)

    Vingron Martin

    2004-09-01

    Full Text Available Abstract Background Alternative splicing contributes significantly to the complexity of the human transcriptome and proteome. Computational prediction of alternative splice isoforms are usually based on EST sequences that also allow to approximate the expression pattern of the related transcripts. However, the limited number of tissues represented in the EST data as well as the different cDNA construction protocols may influence the predictive capacity of ESTs to unravel tissue-specifically expressed transcripts. Methods We predict tissue and tumor specific splice isoforms based on the genomic mapping (SpliceNest of the EST consensus sequences and library annotation provided in the GeneNest database. We further ascertain the potentially rare tissue specific transcripts as the ones represented only by ESTs derived from normalized libraries. A subset of the predicted tissue and tumor specific isoforms are then validated via RT-PCR experiments over a spectrum of 40 tissue types. Results Our strategy revealed 427 genes with at least one tissue specific transcript as well as 1120 genes showing tumor specific isoforms. While our experimental evaluation of computationally predicted tissue-specific isoforms revealed a high success rate in confirming the expression of these isoforms in the respective tissue, the strategy frequently failed to detect the expected restricted expression pattern. The analysis of putative lowly expressed transcripts using normalized cDNA libraries suggests that our ability to detect tissue-specific isoforms strongly depends on the expression level of the respective transcript as well as on the sensitivity of the experimental methods. Especially splice isoforms predicted to be disease-specific tend to represent transcripts that are expressed in a set of healthy tissues rather than novel isoforms. Conclusions We propose to combine the computational prediction of alternative splice isoforms with experimental validation for

  4. The sensory strength of voluntary visual imagery predicts visual working memory capacity.

    Science.gov (United States)

    Keogh, Rebecca; Pearson, Joel

    2014-10-09

    How much we can actively hold in mind is severely limited and differs greatly from one person to the next. Why some individuals have greater capacities than others is largely unknown. Here, we investigated why such large variations in visual working memory (VWM) capacity might occur, by examining the relationship between visual working memory and visual mental imagery. To assess visual working memory capacity participants were required to remember the orientation of a number of Gabor patches and make subsequent judgments about relative changes in orientation. The sensory strength of voluntary imagery was measured using a previously documented binocular rivalry paradigm. Participants with greater imagery strength also had greater visual working memory capacity. However, they were no better on a verbal number working memory task. Introducing a uniform luminous background during the retention interval of the visual working memory task reduced memory capacity, but only for those with strong imagery. Likewise, for the good imagers increasing background luminance during imagery generation reduced its effect on subsequent binocular rivalry. Luminance increases did not affect any of the subgroups on the verbal number working memory task. Together, these results suggest that luminance was disrupting sensory mechanisms common to both visual working memory and imagery, and not a general working memory system. The disruptive selectivity of background luminance suggests that good imagers, unlike moderate or poor imagers, may use imagery as a mnemonic strategy to perform the visual working memory task. © 2014 ARVO.

  5. Cognitive ability rivals the effect of political sophistication on ideological voting

    DEFF Research Database (Denmark)

    Hebbelstrup Rye Rasmussen, Stig

    2016-01-01

    This article examines the impact of cognitive ability on ideological voting. We find, using a US sample and a Danish sample, that the effect of cognitive ability rivals the effect of the traditionally strongest predicter of ideological voting political sophistication. Furthermore, the results...... are consistent with the effect of cognitive ability being partly mediated by political sophistication. Much of the effect of cognitive ability remains however and is not explained by differences in education or Openness to experience either. The implications of these results for democratic theory are discussed....

  6. User research of a voting machine: Preliminary findings and experiences

    NARCIS (Netherlands)

    de Jong, Menno D.T.; van Hoof, Joris Jasper; Gosselt, Jordi Franciscus

    2007-01-01

    This paper describes a usability study of the Nedap voting machine in the Netherlands. On the day of the national elections, 566 voters participated in our study immediately after having cast their real vote. The research focused on the correspondence between voter intents and voting results,

  7. Eos a Universal Verifiable and Coercion Resistant Voting Protocol

    DEFF Research Database (Denmark)

    Patachi, Stefan; Schürmann, Carsten

    2017-01-01

    Authority. Eos uses two mixing phases with the goal to break the connection between the voter and vote, not to preserve vote privacy (which is given already) but to guarantee coercion resistance by making it (nearly) impossible for a coercer to follow their vote through the bulletin board. Eos...

  8. Verifiability of electronic voting: between confidence and trust

    NARCIS (Netherlands)

    Pieters, Wolter; Gutwirth, Serge; Poullet, Yves; De Hert, Paul

    2010-01-01

    When computing scientists speak about electronic voting, it is often in terms of trust. But there are two contradictory statements. First, they argue that it should not be necessary to trust e-voting systems, which would be the case if they are provably secure. Second, for an e-voting system to be

  9. Security analysis of electronic voting and online banking systems

    OpenAIRE

    Tjøstheim, Thomas

    2007-01-01

    The main focus of this dissertation is on security analysis of electronic voting and online banking systems. Six papers form the basis of the thesis and include the following topics: a model for analysis of voting systems, a case study where we apply the proposed model, a new scheme for remote electronic voting, and three case studies of commercial online banking solutions in Norway.

  10. Classroom Voting Questions to Stimulate Discussions in Precalculus

    Science.gov (United States)

    Cline, Kelly; Zullo, Holly; Huckaby, David A.; Storm, Christopher; Stewart, Ann

    2018-01-01

    Classroom voting can be an effective way to stimulate student discussions. In this pedagogy, the instructor poses a multiple-choice question to the class, and then allows a few minutes for consideration and small-group discussion before students vote, either with clickers, cell phones, or a non-electronic method. After the vote the instructor…

  11. Inequality Aversion and Voting on Redistribution

    DEFF Research Database (Denmark)

    Höchtl, Wolfgang; Sausgruber, Rupert; Tyran, Jean-Robert

    of income classes. We experimentally study voting on redistribution between two income classes and show that the effect of inequality aversion is asymmetric. Inequality aversion is more likely to matter if the “rich” are in majority. With a “poor” majority, we find that redistribution outcomes look...

  12. Vote. Speak Out. 3-6.

    Science.gov (United States)

    Illinois State Board of Education, Springfield.

    The purpose of this election-education program is to help develop an informed electorate and to instill in future voters an appreciation of the importance of the right to vote. It provides a framework for discussions of the electoral process and gives students in grades three through six an opportunity to face the responsibilities and challenges…

  13. Inequality aversion and voting on redistribution

    DEFF Research Database (Denmark)

    Höchtl, Wolfgang; Sausgruber, Rupert; Tyran, Jean-Robert Karl

    2012-01-01

    of income classes. We experimentally study voting on redistribution between two income classes and show that the effect of inequality aversion is asymmetric. Inequality aversion is more likely to matter if the “rich” are in majority. With a “poor” majority, we find that redistribution outcomes look...

  14. Central banks’ voting records and future policy

    Czech Academy of Sciences Publication Activity Database

    Horváth, R.; Šmídková, K.; Zápal, Jan

    2012-01-01

    Roč. 8, č. 4 (2012), s. 1-19 ISSN 1815-4654 Institutional support: PRVOUK-P23 Keywords : monetary policy * voting record * transparency Subject RIV: AH - Economics Impact factor: 0.895, year: 2012 http://www.ijcb.org/journal/ijcb12q4a1.pdf

  15. From stochastic completion fields to tensor voting

    NARCIS (Netherlands)

    Almsick, van M.A.; Duits, R.; Franken, E.M.; Haar Romenij, ter B.M.; Olsen, O.F.; Florack, L.M.J.; Kuijper, A.

    2005-01-01

    Several image processing algorithms imitate the lateral interaction of neurons in the visual striate cortex V1 to account for the correlations along contours and lines. Here we focus on two methodologies: tensor voting by Guy and Medioni, and stochastic completion fields by Mumford, Williams and

  16. 7 CFR 1205.204 - Voting.

    Science.gov (United States)

    2010-01-01

    ... Regulations of the Department of Agriculture (Continued) AGRICULTURAL MARKETING SERVICE (MARKETING AGREEMENTS... through the Internet during the voting period. A completed and signed CN-100 and supporting documentation.... Forms obtained via the Internet will be located at http://www.ams.usda.gov/Cotton. Upon request by...

  17. Bandwagon voting or false-consensus effect in voting experiments? First results and methodological limits

    OpenAIRE

    Bischoff, Ivo; Egbert, Henrik

    2008-01-01

    In an experiment designed to test for expressive voting, Tyran (JPubEc 2004) found a strong positive correlation between the participants' approval to a proposal to donate money for charity and their expected approval rate for fellow voters. This phenomenon can be due to a bandwagon effect or a false consensus effect. Both effects have been reported for voting decisions in the social science literature. Redoing Tyran's experiment and adding new treatments, we provide evidence for a false cons...

  18. Non-invasive transabdominal uterine electromyography correlates with the strength of intrauterine pressure and is predictive of labor and delivery.

    Science.gov (United States)

    Maul, H; Maner, W L; Olson, G; Saade, G R; Garfield, R E

    2004-05-01

    The study was conducted to investigate whether the strength of uterine contractions monitored invasively by intrauterine pressure catheter could be determined from transabdominal electromyography (EMG) and to estimate whether EMG is a better predictor of true labor compared to tocodynamometry (TOCO). Uterine EMG was recorded from the abdominal surface in laboring patients simultaneously monitored with an intrauterine pressure catheter (n = 13) or TOCO (n = 24). Three to five contractions per patient and corresponding electrical bursts were randomly selected and analyzed (integral of intrauterine pressure; integral, frequency, amplitude of contraction curve on TOCO; burst energy for EMG). The Mann-Whitney test, Spearman correlation and receiver operator characteristics (ROC) analysis were used as appropriate (significance was assumed at a value of p TOCO parameters were different. In addition, burst energy levels were highly predictive of delivery within 48 h (AUC = 0.9531; p TOCO, transabdominal uterine EMG can be used reliably to predict labor and delivery.

  19. A proposal of parameter determination method in the residual strength degradation model for the prediction of fatigue life (I)

    International Nuclear Information System (INIS)

    Kim, Sang Tae; Jang, Seong Soo

    2001-01-01

    The static and fatigue tests have been carried out to verify the validity of a generalized residual strength degradation model. And a new method of parameter determination in the model is verified experimentally to account for the effect of tension-compression fatigue loading of spheroidal graphite cast iron. It is shown that the correlation between the experimental results and the theoretical prediction on the statistical distribution of fatigue life by using the proposed method is very reasonable. Furthermore, it is found that the correlation between the theoretical prediction and the experimental results of fatigue life in case of tension-tension fatigue data in composite material appears to be reasonable. Therefore, the proposed method is more adjustable in the determination of the parameter than maximum likelihood method and minimization technique

  20. Lumbar lordosis angle (LLA) and leg strength predict walking ability in elderly males

    NARCIS (Netherlands)

    Miyazaki, Junya; Murata, Shin; Horie, Jun; Uematsu, Azusa; Hortobagyi, Tibor; Suzuki, Shuji

    2013-01-01

    There is an association between gait performance and spinal alignment in elderly females but it is unclear if this association is gender-dependent and postural changes would also predict gait performance in healthy elderly males. We measured thoracic kyphosis angle (TKA), LLA as indices of spinal

  1. Fatigue life prediction and strength degradation of wind turbine rotor blade composites

    NARCIS (Netherlands)

    Nijssen, R.P.L.

    2006-01-01

    Wind turbine rotor blades are subjected to a large number of highly variable loads, but life predictions are typically based on constant amplitude fatigue behaviour. Therefore, it is important to determine how service life under variable amplitude fatigue can be estimated from constant amplitude

  2. Quantifying the effect of microstructure variability on the yield strength predictions of Ni-base superalloys

    Energy Technology Data Exchange (ETDEWEB)

    Tiley, J.S. [Air Force Research Laboratory, Wright Patterson AFB, OH 45433 (United States); Kim, S.L.; Parthasarathy, T.A. [UES, Inc., Wright Patterson AFB, OH 45433 (United States); Loughnane, G.T. [Wright State University, Dayton, OH 45435 (United States); Kublik, R.; Salem, A.A. [Materials Resources LLC, Dayton, OH 45402 (United States)

    2017-02-08

    Physics-based models for predicting the mechanical behavior of Ni-based superalloys as a function of microstructure features require the use of microstructure data for calibration and verification. Accurate representation of the heterogeneity of microstructure features requires accurate selection of the representative microstructure data size (i.e. image size). Thus, this work is carried out to address the influence of microstructure data size on the accuracy of a discrete dislocation dynamic model in predicting the critical resolved share stress (CRSS) of IN100. Microstructure features from backscattered electron images were extracted using image processing techniques. Single point statistics (e.g. area fraction, precipitate size, and distance between γ' particles) and higher order statistics using two-point correlations were calculated from segmented 2-D images. Modified Bhattacharyya Coefficient analysis techniques were employed to calculate three-dimensional particle size distributions. Results indicate a significant influence of the microstructure data size on the calculated CRSS.

  3. A compressibility based model for predicting the tensile strength of directly compressed pharmaceutical powder mixtures.

    Science.gov (United States)

    Reynolds, Gavin K; Campbell, Jacqueline I; Roberts, Ron J

    2017-10-05

    A new model to predict the compressibility and compactability of mixtures of pharmaceutical powders has been developed. The key aspect of the model is consideration of the volumetric occupancy of each powder under an applied compaction pressure and the respective contribution it then makes to the mixture properties. The compressibility and compactability of three pharmaceutical powders: microcrystalline cellulose, mannitol and anhydrous dicalcium phosphate have been characterised. Binary and ternary mixtures of these excipients have been tested and used to demonstrate the predictive capability of the model. Furthermore, the model is shown to be uniquely able to capture a broad range of mixture behaviours, including neutral, negative and positive deviations, illustrating its utility for formulation design. Copyright © 2017 Elsevier B.V. All rights reserved.

  4. Prediction of Tensile Strength of Friction Stir Weld Joints with Adaptive Neuro-Fuzzy Inference System (ANFIS) and Neural Network

    Science.gov (United States)

    Dewan, Mohammad W.; Huggett, Daniel J.; Liao, T. Warren; Wahab, Muhammad A.; Okeil, Ayman M.

    2015-01-01

    Friction-stir-welding (FSW) is a solid-state joining process where joint properties are dependent on welding process parameters. In the current study three critical process parameters including spindle speed (??), plunge force (????), and welding speed (??) are considered key factors in the determination of ultimate tensile strength (UTS) of welded aluminum alloy joints. A total of 73 weld schedules were welded and tensile properties were subsequently obtained experimentally. It is observed that all three process parameters have direct influence on UTS of the welded joints. Utilizing experimental data, an optimized adaptive neuro-fuzzy inference system (ANFIS) model has been developed to predict UTS of FSW joints. A total of 1200 models were developed by varying the number of membership functions (MFs), type of MFs, and combination of four input variables (??,??,????,??????) utilizing a MATLAB platform. Note EFI denotes an empirical force index derived from the three process parameters. For comparison, optimized artificial neural network (ANN) models were also developed to predict UTS from FSW process parameters. By comparing ANFIS and ANN predicted results, it was found that optimized ANFIS models provide better results than ANN. This newly developed best ANFIS model could be utilized for prediction of UTS of FSW joints.

  5. Voting frequentia as an indicator of political activity

    Directory of Open Access Journals (Sweden)

    V. V. Kryvoshein

    2017-07-01

    Found that the amount of voting frequentia depends on the political regime, the form of government and the level elections. Determined that democracies characterized by an autonomous form of voting frequentia and for undemocratic – mobilizational form of voting frequentia. Followed that the highest rate of participation in voting observed in countries with a parliamentary form of government and proportional electoral system, more than 2/3 of the voting frequentia observed in countries with a parliamentary form of government and majoritarian electoral systems, lowest level of voting frequentia observed in countries with a presidential form of government. It also notes that increased voting frequentia observed in countries where compulsory voting is set. Observed trend of dependency and level elections: electoral activity of elections on the local, regional and supra-national representative authority is much lower than in the presidential and parliamentary elections. Attention is drawn to in explaining the voting frequentia considered rational and irrational factors, since voting is a two-tiered process: active, politically defined part of the voters voted party ideologically and politically unbiased – rationally.

  6. [Voting by cognitively impaired persons: legal and ethical issues].

    Science.gov (United States)

    Bosquet, Antoine; Medjkane, Amar; Vinceneux, Philippe; Mahé, Isabelle

    2010-03-01

    In democratic countries, cognitively impaired persons are a substantial and growing group of citizens. Most of them are citizens with dementia. In dementia, cognitive impairment induces a loss of some capacities, resulting in vulnerability and increased need for assistance. Voting by cognitively impaired persons raises any questions about the integrity of the electoral process, the risk of fraud and the respect of their citizenship. In France, the law is not definite about the voting of cognitively impaired persons. An objective assessment for voting capacity may be useful both for professionals in charge of voting organisation and for guardianship judge in order to help him in his decision to remove or keep the voting right of persons placed under guardianship. Assessing the reality of voting by cognitively impaired citizens is necessary to advance respect for their right to vote.

  7. Digital herders and phase transition in a voting model

    Science.gov (United States)

    Hisakado, M.; Mori, S.

    2011-07-01

    In this paper, we discuss a voting model with two candidates, C1 and C2. We set two types of voters—herders and independents. The voting of independent voters is based on their fundamental values; on the other hand, the voting of herders is based on the number of votes. Herders always select the majority of the previous r votes, which are visible to them. We call them digital herders. We can accurately calculate the distribution of votes for special cases. When r >= 3, we find that a phase transition occurs at the upper limit of t, where t is the discrete time (or number of votes). As the fraction of herders increases, the model features a phase transition beyond which a state where most voters make the correct choice coexists with one where most of them are wrong. On the other hand, when r independent voters. Finally, we recognize the behavior of human beings by conducting simple experiments.

  8. Predicting Hydride Donor Strength via Quantum Chemical Calculations of Hydride Transfer Activation Free Energy.

    Science.gov (United States)

    Alherz, Abdulaziz; Lim, Chern-Hooi; Hynes, James T; Musgrave, Charles B

    2018-01-25

    We propose a method to approximate the kinetic properties of hydride donor species by relating the nucleophilicity (N) of a hydride to the activation free energy ΔG ⧧ of its corresponding hydride transfer reaction. N is a kinetic parameter related to the hydride transfer rate constant that quantifies a nucleophilic hydridic species' tendency to donate. Our method estimates N using quantum chemical calculations to compute ΔG ⧧ for hydride transfers from hydride donors to CO 2 in solution. A linear correlation for each class of hydrides is then established between experimentally determined N values and the computationally predicted ΔG ⧧ ; this relationship can then be used to predict nucleophilicity for different hydride donors within each class. This approach is employed to determine N for four different classes of hydride donors: two organic (carbon-based and benzimidazole-based) and two inorganic (boron and silicon) hydride classes. We argue that silicon and boron hydrides are driven by the formation of the more stable Si-O or B-O bond. In contrast, the carbon-based hydrides considered herein are driven by the stability acquired upon rearomatization, a feature making these species of particular interest, because they both exhibit catalytic behavior and can be recycled.

  9. A networked voting rule for democratic representation

    Science.gov (United States)

    Hernández, Alexis R.; Gracia-Lázaro, Carlos; Brigatti, Edgardo; Moreno, Yamir

    2018-03-01

    We introduce a general framework for exploring the problem of selecting a committee of representatives with the aim of studying a networked voting rule based on a decentralized large-scale platform, which can assure a strong accountability of the elected. The results of our simulations suggest that this algorithm-based approach is able to obtain a high representativeness for relatively small committees, performing even better than a classical voting rule based on a closed list of candidates. We show that a general relation between committee size and representatives exists in the form of an inverse square root law and that the normalized committee size approximately scales with the inverse of the community size, allowing the scalability to very large populations. These findings are not strongly influenced by the different networks used to describe the individuals' interactions, except for the presence of few individuals with very high connectivity which can have a marginal negative effect in the committee selection process.

  10. How Election Polls Shape Voting Behaviour

    DEFF Research Database (Denmark)

    Dahlgaard, Jens Olav; Hansen, Jonas Hedegaard; Hansen, Kasper Møller

    2017-01-01

    This article investigates how election information such as opinion polls can influence voting intention. The bandwagon effect claims that voters ‘float along’: a party experiencing increased support receives more support, and vice versa. Through a large national survey experiment, evidence is found...... of a bandwagon effect among Danish voters. When voters are exposed to a news story describing either an upwards or downwards movement for either a small or large party, they tend to move their voting intentions in the according direction. The effect is strongest in the positive direction – that is, when a party...... experiences increased support, more follows. Consistent effects are found across two different parties for a diverse national sample in a political context very different from earlier research on the bandwagon effects. Considering previous research and the fact that evidence is not found that suggests...

  11. A networked voting rule for democratic representation

    Science.gov (United States)

    Brigatti, Edgardo; Moreno, Yamir

    2018-01-01

    We introduce a general framework for exploring the problem of selecting a committee of representatives with the aim of studying a networked voting rule based on a decentralized large-scale platform, which can assure a strong accountability of the elected. The results of our simulations suggest that this algorithm-based approach is able to obtain a high representativeness for relatively small committees, performing even better than a classical voting rule based on a closed list of candidates. We show that a general relation between committee size and representatives exists in the form of an inverse square root law and that the normalized committee size approximately scales with the inverse of the community size, allowing the scalability to very large populations. These findings are not strongly influenced by the different networks used to describe the individuals’ interactions, except for the presence of few individuals with very high connectivity which can have a marginal negative effect in the committee selection process. PMID:29657817

  12. Small Crack Growth and Fatigue Life Predictions for High-Strength Aluminium Alloys. Part 1; Experimental and Fracture Mechanics Analysis

    Science.gov (United States)

    Wu, X. R.; Newman, J. C.; Zhao, W.; Swain, M. H.; Ding, C. F.; Phillips, E. P.

    1998-01-01

    The small crack effect was investigated in two high-strength aluminium alloys: 7075-T6 bare and LC9cs clad alloy. Both experimental and analytical investigations were conducted to study crack initiation and growth of small cracks. In the experimental program, fatigue tests, small crack and large crack tests A,ere conducted under constant amplitude and Mini-TWIST spectrum loading conditions. A pronounced small crack effect was observed in both materials, especially for the negative stress ratios. For all loading conditions, most of the fatigue life of the SENT specimens was shown to be crack propagation from initial material defects or from the cladding layer. In the analysis program, three-dimensional finite element and A weight function methods were used to determine stress intensity factors and to develop SIF equations for surface and corner cracks at the notch in the SENT specimens. A plastisity-induced crack-closure model was used to correlate small and large crack data, and to make fatigue life predictions, Predicted crack-growth rates and fatigue lives agreed well with experiments. A total fatigue life prediction method for the aluminum alloys was developed and demonstrated using the crack-closure model.

  13. Fatigue Strength Prediction for Titanium Alloy TiAl6V4 Manufactured by Selective Laser Melting

    Science.gov (United States)

    Leuders, Stefan; Vollmer, Malte; Brenne, Florian; Tröster, Thomas; Niendorf, Thomas

    2015-09-01

    Selective laser melting (SLM), as a metalworking additive manufacturing technique, received considerable attention from industry and academia due to unprecedented design freedom and overall balanced material properties. However, the fatigue behavior of SLM-processed materials often suffers from local imperfections such as micron-sized pores. In order to enable robust designs of SLM components used in an industrial environment, further research regarding process-induced porosity and its impact on the fatigue behavior is required. Hence, this study aims at a transfer of fatigue prediction models, established for conventional process-routes, to the field of SLM materials. By using high-resolution computed tomography, load increase tests, and electron microscopy, it is shown that pore-based fatigue strength predictions for a titanium alloy TiAl6V4 have become feasible. However, the obtained accuracies are subjected to scatter, which is probably caused by the high defect density even present in SLM materials manufactured following optimized processing routes. Based on thorough examination of crack surfaces and crack initiation sites, respectively, implications for optimization of prediction accuracy of the models in focus are deduced.

  14. Sex, race, gender, and the presidential vote

    OpenAIRE

    Susan B. Hansen

    2016-01-01

    Racial resentment has been shown to have a significant impact on voting by whites in recent presidential elections, and a much larger impact than the traditional gender-gap measure based on the male-female dichotomy. This analysis will use data from the American National Election Studies [ANES] to compare broader indicators of race and gender applicable to the Democratic and Republican parties as well as to respondents’ opinions of appropriate roles for women. Since the 1980s the parties have...

  15. Embryo Cell Membranes Reconstruction by Tensor Voting

    OpenAIRE

    Michelin , Gaël; Guignard , Léo; Fiuza , Ulla-Maj; Malandain , Grégoire

    2014-01-01

    International audience; Image-based studies of developing organs or embryos produce a huge quantity of data. To handle such high-throughput experimental protocols, automated computer-assisted methods are highly desirable. This article aims at designing an efficient cell segmentation method from microscopic images. The proposed approach is twofold: first, cell membranes are enhanced or extracted by the means of structure-based filters, and then perceptual grouping (i.e. tensor voting) allows t...

  16. Voting on pensions: sex and marriage

    OpenAIRE

    Leroux, Marie-Louise; Pestieau, Pierre; Racionero, Maria

    2009-01-01

    Existing political economy models of pensions focus on age and productivity. In this paper we incorporate two additional individual characteristics: sex and marital status. We ignore the role of age, by assuming that people vote at the start of their life, and characterize the preferred rate of taxation that finances a Beveridgean pension scheme when individuals differ in wage, sex and marital status. We allow for two types of couples: one-breadwinner and two-breadwinner couples. Marriage poo...

  17. Multi-Scale Modeling for Predicting the Stiffness and Strength of Hollow-Structured Metal Foams with Structural Hierarchy

    Directory of Open Access Journals (Sweden)

    Yong Yi

    2018-03-01

    Full Text Available This work was inspired by previous experiments which managed to establish an optimal template-dealloying route to prepare ultralow density metal foams. In this study, we propose a new analytical–numerical model of hollow-structured metal foams with structural hierarchy to predict its stiffness and strength. The two-level model comprises a main backbone and a secondary nanoporous structure. The main backbone is composed of hollow sphere-packing architecture, while the secondary one is constructed of a bicontinuous nanoporous network proposed to describe the nanoscale interactions in the shell. Firstly, two nanoporous models with different geometries are generated by Voronoi tessellation, then the scaling laws of the mechanical properties are determined as a function of relative density by finite volume simulation. Furthermore, the scaling laws are applied to identify the uniaxial compression behavior of metal foams. It is shown that the thickness and relative density highly influence the Young’s modulus and yield strength, and vacancy defect determines the foams being self-supported. The present study provides not only new insights into the mechanical behaviors of both nanoporous metals and metal foams, but also a practical guide for their fabrication and application.

  18. Voting Behavior in Parliamentary Elections in Slovakia

    Directory of Open Access Journals (Sweden)

    Řádek Miroslav

    2016-10-01

    Full Text Available Department of Political Science at Alexander Dubcek University in Trencin prepared its own exit poll during election day on March 5, 2016. The survey asked seven questions that were aimed at determining the preferences of the respondents concerning not only the current but also past general elections. Interviewers surveyed the choice of political party or movement in parliamentary elections in 2016 as well as preferences in past elections. Followed by questions concerning motivation to vote - when did the respondents decide to go to vote and what or who inspired this decision. The survey also tried to found out how many preferential votes did the voters give to the candidates of political parties and movements. Final question asked about expectations for the future of individual respondents. This article is the information output of the survey. The interviewers were 124 university students and its return was 1,612 sheets. The aim of this paper is to communicate the findings of this unique survey, which is unprecedented in the Slovak political science.

  19. How Election Polls Shape Voting Behaviour

    DEFF Research Database (Denmark)

    Dahlgaard, Jens Olav; Hansen, Jonas Hedegaard; Hansen, Kasper Møller

    2017-01-01

    This article investigates how election information such as opinion polls can influence voting intention. The bandwagon effect claims that voters ‘float along’: a party experiencing increased support receives more support, and vice versa. Through a large national survey experiment, evidence is fou...... that the effect of polls vary across sociodemographic groups, the results imply that bandwagon behaviour is based not on social or political contingencies, such as media or political institution, but on fundamentals of political cognition....... of a bandwagon effect among Danish voters. When voters are exposed to a news story describing either an upwards or downwards movement for either a small or large party, they tend to move their voting intentions in the according direction. The effect is strongest in the positive direction – that is, when a party......This article investigates how election information such as opinion polls can influence voting intention. The bandwagon effect claims that voters ‘float along’: a party experiencing increased support receives more support, and vice versa. Through a large national survey experiment, evidence is found...

  20. Strength Is in Numbers: Can Concordant Artificial Listeners Improve Prediction of Emotion from Speech?

    Directory of Open Access Journals (Sweden)

    Eugenio Martinelli

    Full Text Available Humans can communicate their emotions by modulating facial expressions or the tone of their voice. Albeit numerous applications exist that enable machines to read facial emotions and recognize the content of verbal messages, methods for speech emotion recognition are still in their infancy. Yet, fast and reliable applications for emotion recognition are the obvious advancement of present 'intelligent personal assistants', and may have countless applications in diagnostics, rehabilitation and research. Taking inspiration from the dynamics of human group decision-making, we devised a novel speech emotion recognition system that applies, for the first time, a semi-supervised prediction model based on consensus. Three tests were carried out to compare this algorithm with traditional approaches. Labeling performances relative to a public database of spontaneous speeches are reported. The novel system appears to be fast, robust and less computationally demanding than traditional methods, allowing for easier implementation in portable voice-analyzers (as used in rehabilitation, research, industry, etc. and for applications in the research domain (such as real-time pairing of stimuli to participants' emotional state, selective/differential data collection based on emotional content, etc..

  1. Strength Is in Numbers: Can Concordant Artificial Listeners Improve Prediction of Emotion from Speech?

    Science.gov (United States)

    Martinelli, Eugenio; Mencattini, Arianna; Daprati, Elena; Di Natale, Corrado

    2016-01-01

    Humans can communicate their emotions by modulating facial expressions or the tone of their voice. Albeit numerous applications exist that enable machines to read facial emotions and recognize the content of verbal messages, methods for speech emotion recognition are still in their infancy. Yet, fast and reliable applications for emotion recognition are the obvious advancement of present 'intelligent personal assistants', and may have countless applications in diagnostics, rehabilitation and research. Taking inspiration from the dynamics of human group decision-making, we devised a novel speech emotion recognition system that applies, for the first time, a semi-supervised prediction model based on consensus. Three tests were carried out to compare this algorithm with traditional approaches. Labeling performances relative to a public database of spontaneous speeches are reported. The novel system appears to be fast, robust and less computationally demanding than traditional methods, allowing for easier implementation in portable voice-analyzers (as used in rehabilitation, research, industry, etc.) and for applications in the research domain (such as real-time pairing of stimuli to participants' emotional state, selective/differential data collection based on emotional content, etc.).

  2. Local predation pressure predicts the strength of mobbing responses in tropical birds

    Directory of Open Access Journals (Sweden)

    Luis SANDOVAL, David R. WILSON

    2012-10-01

    Full Text Available Many birds join cooperative mobbing aggregations and collectively harass predators. Individuals participating in these ephemeral associations benefit by deterring the predator, but also incur energetic costs and increased risk of predation. Explaining the evolution of mobbing is challenging because individuals could prevail by selfishly seeking safety while allowing others to mob. An important step in understanding the evolution of mobbing is to identify factors affecting its expression. The ecological constraints model suggests that animals are more likely to cooperate under adverse environmental conditions, such as when local predation pressure is high. We tested this prediction by comparing the mobbing responses of several species of birds to the local abundance of their primary predator, the ferruginous pygmy-owl Glaucidium brasilianum. We used acoustic playback to elicit mobbing responses in environments where owls were common, uncommon, or rare. Stimuli were either the song of a ferruginous pygmy-owl or the mobbing calls of three of the owl’s common prey species. During each playback, we characterized mobbing responses by noting the number of species and individuals that approached the loudspeaker, as well as the closest approach by any bird. Mobbing responses to both stimuli were strong in locations where Ferruginous Pygmy-owls were common, intermediate where owls were uncommon, and weak where they were rare. This pattern persisted even after controlling for differences in species richness and composition among the three environments. Results support the ecological constraints model and provide strong evidence that intense predation pressure increases the expression of cooperative mobbing in tropical birds [Current Zoology 58 (5: 781-790, 2012].

  3. Improving the prediction of strength and rigidity of structural timber by combining ultrasound techniques with visual grading parameters

    Directory of Open Access Journals (Sweden)

    Hermoso Prieto, E.

    2007-12-01

    Full Text Available The present study explores the possibility of using longitudinal ultrasound transmission to evaluate the bending strength and modulus of elasticity in structural timber made from the two species most commonly found in Spanish construction and rehabilitation works: Scots pine (Pinus sylvestris L. and Laricio pine (Pinus nigra Arn.. An analysis of 1305 Scots pine and 852 Laricio pine beams shows that ultrasound transmission velocity alone can predict neither the bending strength nor the modulus of elasticity and that other predictive variables are required.A series of models are proposed based on ultrasound transmission velocity measurements, the relative size of the largest face and edge knots, length and density. After running models for each species individually and for the two jointly, a single model is found to be suitable for both. The models proposed explain from 63 to 73 per cent of bending strength and modulus of elasticity variability.Se analiza la posibilidad de aplicar la técnica de transmisión longitudinal de ultrasonidos para la evaluación de la resistencia y módulo de elasticidad a flexión de la madera estructural de las dos especies de mayor interés constructivo y más amplia presencia en obras de rehabilitación: el pino silvestre (Pinus sylvestris L. y el pino laricio (Pinus nigra Arn.. Trabajando sobre un total de 1.305 vigas de pino silvestre y 852 de pino laricio se concluye que por sí sola la velocidad de transmisión de ultrasonidos no es un buen predictor ni de la resistencia ni del módulo de elasticidad en flexión, necesitando el complemento de otras variables predictoras. Se proponen diversos modelos basados en la medición de la velocidad de transmisión de ultrasonidos, de los diámetros relativos del nudo máximo de cara y de canto, de la longitud y de la densidad. Los modelos se proponen tanto a nivel especie como global, comprobándose que es posible emplear un modelo único para ambas especies. Los modelos

  4. Poverty and vote buying: Survey-based evidence from Africa

    DEFF Research Database (Denmark)

    Jensen, Peter Sandholt; Justesen, Mogens K.

    2014-01-01

    Alongside the spread of democracy in the developing world, vote buying has emerged as an integral part of election campaigns. Yet, we know little about the causes of vote buying in young democracies. In this paper, we analyse the sources of vote buying in sub-Saharan African. Using data from...... the Afrobarometer, we focus on the impact of poverty on vote buying at the individual- and country-level. Results from multilevel regressions show that poor voters are significantly more likely to be targets of vote buying than wealthier voters. This effect increases when elections are highly competitive. Thus......, micro-level poverty seems to be an important source of vote buying in Africa and has major implications for the way electoral democracy operates....

  5. Vote Markets, Latent Opportunism, and the Secret Ballot

    DEFF Research Database (Denmark)

    Justesen, Mogens Kamp; Bøttkjær, Louise Thorn; Gates, Scott

    The secret ballot is a cornerstone of modern democracy because it protects voter autonomy and allows voters to express their political preferences freely without fear of repercussions. In theory, the secret ballot is supposed to prevent vote buying – the exchange of votes for money or material...... goods – from operating during elections. Yet, empirical evidence from surveys around the world suggests that vote buying is a common feature of elections in new democracies. Indeed, a fundamental puzzle concerns why political parties use vote buying to mobilize electoral support when the secret ballot...... allows voters to renege on their commitments and vote as they please. In this paper, we address this puzzle by arguing that voter perceptions of ballot secrecy affect their responses to vote buying offers. Theoretically, we develop a game theoretical model, where voter beliefs in the secret ballot guide...

  6. 25 CFR 217.6 - Method of casting votes.

    Science.gov (United States)

    2010-04-01

    ... 25 Indians 1 2010-04-01 2010-04-01 false Method of casting votes. 217.6 Section 217.6 Indians.... § 217.6 Method of casting votes. Within 30 days after an issue and any analysis provided for in §§ 217.4... superintendent in writing of the number of votes cast for and against the proposed or alternative solutions. If...

  7. Voting pattern of mental patients in a community state hospital.

    Science.gov (United States)

    Klein, M M; Grossman, S A

    1967-06-01

    The voting pattern of mental patients in a community-based state hospital was studied. Patients were polled on the New York City mayoralty race. A comparison to the vote of the general population revealed that the hospital sample vote resembled most closely the election results of the hospital district. The results highlight the advantage of community-centered mental health facilities, which undertake the treatment and rehabilitation of mental patients under conditions that maintain ties with family and community.

  8. Resting-state functional connectivity predicts the strength of hemispheric lateralization for language processing in temporal lobe epilepsy and normals.

    Science.gov (United States)

    Doucet, Gaëlle E; Pustina, Dorian; Skidmore, Christopher; Sharan, Ashwini; Sperling, Michael R; Tracy, Joseph I

    2015-01-01

    In temporal lobe epilepsy (TLE), determining the hemispheric specialization for language before surgery is critical to preserving a patient's cognitive abilities post-surgery. To date, the major techniques utilized are limited by the capacity of patients to efficiently realize the task. We determined whether resting-state functional connectivity (rsFC) is a reliable predictor of language hemispheric dominance in right and left TLE patients, relative to controls. We chose three subregions of the inferior frontal cortex (pars orbitalis, pars triangularis, and pars opercularis) as the seed regions. All participants performed both a verb generation task and a resting-state fMRI procedure. Based on the language task, we computed a laterality index (LI) for the resulting network. This revealed that 96% of the participants were left-hemisphere dominant, although there remained a large degree of variability in the strength of left lateralization. We tested whether LI correlated with rsFC values emerging from each seed. We revealed a set of regions that was specific to each group. Unique correlations involving the epileptic mesial temporal lobe were revealed for the right and left TLE patients, but not for the controls. Importantly, for both TLE groups, the rsFC emerging from a contralateral seed was the most predictive of LI. Overall, our data depict the broad patterns of rsFC that support strong versus weak left hemisphere language laterality. This project provides the first evidence that rsFC data may potentially be used on its own to verify the strength of hemispheric dominance for language in impaired or pathologic populations. © 2014 Wiley Periodicals, Inc.

  9. The Prediction of the Mechanical Properties for Dual-Phase High Strength Steel Grades Based on Microstructure Characteristics

    Directory of Open Access Journals (Sweden)

    Emil Evin

    2018-04-01

    Full Text Available The decrease of emissions from vehicle operation is connected mainly to the reduction of the car’s body weight. The high strength and good formability of the dual phase steel grades predetermine these to be used in the structural parts of the car’s body safety zones. The plastic properties of dual phase steel grades are determined by the ferrite matrix while the strength properties are improved by the volume and distribution of martensite. The aim of this paper is to describe the relationship between the mechanical properties and the parameters of structure and substructure. The heat treatment of low carbon steel X60, low alloyed steel S460MC, and dual phase steel DP600 allowed for them to reach states with a wide range of volume fractions of secondary phases and grain size. The mechanical properties were identified by a tensile test, volume fraction of secondary phases, and grain size were measured by image analysis. It was found that by increasing the annealing temperature, the volume fraction of the secondary phase increased, and the ferrite grains were refined. Regression analysis was used to find out the equations for predicting mechanical properties based on the volume fraction of the secondary phase and grain size, following the annealing temperature. The hardening mechanism of the dual phase steel grades for the states they reached was described by the relationship between the strain-hardening exponent and the density of dislocations. This allows for the designing of dual phase steel grades that are “tailored” to the needs of the automotive industry customers.

  10. Legislator voting and behavioral science theory: a systematic review.

    Science.gov (United States)

    Tung, Gregory J; Vernick, Jon S; Reiney, Erin V; Gielen, Andrea C

    2012-11-01

    To examine the application of behavioral science theories to explain the voting behavior of legislators for public health policies. We conducted a systematic review to identify studies that examined factors associated with legislator support, intention to vote, or actual votes on public health policies, emphasizing those grounded in behavior science theory. Twenty-one papers met our inclusion criteria, and 6 were explicitly grounded in a behavioral science theory. Behavioral science theories, and the theory of planned behavior in particular, provide a framework for understanding legislator voting behavior and can be used by advocates to advance pro-health policies.

  11. Two kinds of Phase transitions in a Voting model

    OpenAIRE

    Hisakado, Masato; Mori, Shintaro

    2012-01-01

    In this paper, we discuss a voting model with two candidates, C_0 and C_1. We consider two types of voters--herders and independents. The voting of independents is based on their fundamental values; on the other hand, the voting of herders is based on the number of previous votes. We can identify two kinds of phase transitions. One is an information cascade transition similar to a phase transition seen in Ising model. The other is a transition of super and normal diffusions. These phase trans...

  12. 2008 Uniformed and Overseas Citizens Absentee Voting Act Survey

    Data.gov (United States)

    Election Assistance Commission — This dataset contains data about military and overseas voting for the 2008 election cycle. The dataset and corresponding report address ballot transmissions to, and...

  13. 2010 Uniformed and Overseas Citizens Absentee Voting Act Survey

    Data.gov (United States)

    Election Assistance Commission — This dataset contains data about military and overseas voting for the 2010 election cycle. The dataset and corresponding report address ballot transmissions to, and...

  14. Climate Change Beliefs Count: Relationships With Voting Outcomes at the 2010 Australian Federal Election

    Directory of Open Access Journals (Sweden)

    Rod McCrea

    2015-05-01

    Full Text Available Climate change is a political as well as an environmental issue. Climate change beliefs are commonly associated with voting behaviour, but are they associated with swings in voting behaviour? The latter are arguably more important for election outcomes. This paper investigates the predictive power of these beliefs on voting swings at the 2010 Australian federal election after controlling for a range of other related factors (demographic characteristics of voters, different worldviews about nature and the role of government, and the perceived opportunity cost of addressing climate change. Drawing on data from two nationally representative surveys of voters and data from the Australian Electoral Commission, this paper investigates relationships between climate change beliefs and voting swings at both the individual and electorate levels. At an individual level, a hypothetical 10% change in climate change beliefs was associated with a 2.6% swing from a conservative Coalition and a 2.0% swing toward Labor and 1.7% toward the Greens party, both left on the political spectrum. At the electorate level, this equates to a shift of 21 seats between the two main political parties (the Coalition and Labor in Australia’s 150 seat parliament, after allocating Green preferences. Given many seats are marginal, even modest shifts in climate change beliefs can be associated with changes in electoral outcomes. Thus, climate change is expected to remain a politically contested issue in countries like Australia where political parties seek to distinguish themselves, in part, by their responses to climate change.

  15. A Logical Analysis of Quantum Voting Protocols

    Science.gov (United States)

    Rad, Soroush Rafiee; Shirinkalam, Elahe; Smets, Sonja

    2017-12-01

    In this paper we provide a logical analysis of the Quantum Voting Protocol for Anonymous Surveying as developed by Horoshko and Kilin in (Phys. Lett. A 375, 1172-1175 2011). In particular we make use of the probabilistic logic of quantum programs as developed in (Int. J. Theor. Phys. 53, 3628-3647 2014) to provide a formal specification of the protocol and to derive its correctness. Our analysis is part of a wider program on the application of quantum logics to the formal verification of protocols in quantum communication and quantum computation.

  16. Combining areal DXA bone mineral density and vertebrae postero-anterior width improves the prediction of vertebral strength

    Energy Technology Data Exchange (ETDEWEB)

    Taton, Grzegorz; Rokita, Eugeniusz [Jagiellonian University Medical College, Department of Biophysics, Krakow (Poland); Wrobel, Andrzej [Jagiellonian University, Institute of Physics, Krakow (Poland); Korkosz, Mariusz [Jagiellonian University Medical College, Department of Internal Medicine and Gerontology, Division of Rheumatology, Krakow (Poland)

    2013-12-15

    Areal bone mineral density (aBMD) measured by dual-energy X-ray absorptiometry (DXA) is an important determinant of bone strength (BS), despite the fact that the correlation between aBMD and BS is relatively weak. Parameters that describe BS more accurately are desired. The aim of this study was to determine whether the geometrical corrections applied to aBMD would improve its ability for BS prediction. We considered new parameters, estimated from a single DXA measurement, as well as BMAD (bone mineral apparent density) reported in the literature. In vitro studies were performed with the L3 vertebrae from 20 cadavers, which were studied with DXA and quantitative computed tomography (QCT). A mechanical strength assessment was carried out. Two new parameters were introduced: vBMD{sub min} = (aBMD)/(W{sub PA}{sup min}) and vBMD{sub av} = (aBMD)/(W{sub PA}{sup av}) (W{sub PA}{sup min} - minimal vertebral body width in postero-anterior (PA) view, W{sub PA}{sup av} - average PA vertebral body width). Volumetric BMD measured by QCT (vBMD), aBMD, BMAD, vBMD{sub min}, and vBMD{sub av} were correlated to ultimate load and ultimate stress (P{sub max}) to find the best predictor of vertebrae BS. The coefficients of correlation between P{sub max} and vBMD{sub min}, vBMD{sub av}, as well as BMAD, were r = 0.626 (p = 0.005), r = 0.610 (p = 0.006) and r = 0.567 (p = 0.012), respectively. Coefficients for vBMD and aBMD are r = 0.648 (p = 0.003) and r = 0.511 (p = 0.03), respectively. Our results showed that aBMD normalized by vertebrae dimensions describes vertebrae BS better than aBMD alone. The considered indices vBMD{sub av}, vBMD{sub min}, and BMAD can be measured in routine PA DXA and considerably improve BS variability prediction. vBMD{sub min} is superior compared to vBMD{sub av} and BMAD. (orig.)

  17. Deficits of entropy modulation in schizophrenia are predicted by functional connectivity strength in the theta band and structural clustering.

    Science.gov (United States)

    Gomez-Pilar, Javier; de Luis-García, Rodrigo; Lubeiro, Alba; de Uribe, Nieves; Poza, Jesús; Núñez, Pablo; Ayuso, Marta; Hornero, Roberto; Molina, Vicente

    2018-01-01

    Spectral entropy (SE) allows comparing task-related modulation of electroencephalogram (EEG) between patients and controls, i.e. spectral changes of the EEG associated to task performance. A SE modulation deficit has been replicated in different schizophrenia samples. To investigate the underpinnings of SE modulation deficits in schizophrenia, we applied graph-theory to EEG recordings during a P300 task and fractional anisotropy (FA) data from diffusion tensor imaging in 48 patients (23 first episodes) and 87 healthy controls. Functional connectivity was assessed from phase-locking values among sensors in the theta band, and structural connectivity was based on FA values for the tracts connecting pairs of regions. From those data, averaged clustering coefficient (CLC), characteristic path-length (PL) and connectivity strength (CS, also known as density) were calculated for both functional and structural networks. The corresponding functional modulation values were calculated as the difference in SE and CLC, PL and CS between the pre-stimulus and response windows during the task. The results revealed a higher functional CS in the pre-stimulus window in patients, predictive of smaller modulation of SE in this group. The amount of increase in theta CS from pre-stimulus to response related to SE modulation in patients and controls. Structural CLC was associated with SE modulation in the patients. SE modulation was predictive of negative symptoms, whereas CLC and PL modulation was associated with cognitive performance in the patients. These results support that a hyperactive functional connectivity and/or structural connective deficits in the patients hamper the dynamical modulation of connectivity underlying cognition.

  18. Prediction Model of Cutting Parameters for Turning High Strength Steel Grade-H: Comparative Study of Regression Model versus ANFIS

    Directory of Open Access Journals (Sweden)

    Adel T. Abbas

    2017-01-01

    Full Text Available The Grade-H high strength steel is used in the manufacturing of many civilian and military products. The procedures of manufacturing these parts have several turning operations. The key factors for the manufacturing of these parts are the accuracy, surface roughness (Ra, and material removal rate (MRR. The production line of these parts contains many CNC turning machines to get good accuracy and repeatability. The manufacturing engineer should fulfill the required surface roughness value according to the design drawing from first trail (otherwise these parts will be rejected as well as keeping his eye on maximum metal removal rate. The rejection of these parts at any processing stage will represent huge problems to any factory because the processing and raw material of these parts are very expensive. In this paper the artificial neural network was used for predicting the surface roughness for different cutting parameters in CNC turning operations. These parameters were investigated to get the minimum surface roughness. In addition, a mathematical model for surface roughness was obtained from the experimental data using a regression analysis method. The experimental data are then compared with both the regression analysis results and ANFIS (Adaptive Network-based Fuzzy Inference System estimations.

  19. A Maximum Muscle Strength Prediction Formula Using Theoretical Grade 3 Muscle Strength Value in Daniels et al.’s Manual Muscle Test, in Consideration of Age: An Investigation of Hip and Knee Joint Flexion and Extension

    Directory of Open Access Journals (Sweden)

    Hideyuki Usa

    2017-01-01

    Full Text Available This study attempted to develop a formula for predicting maximum muscle strength value for young, middle-aged, and elderly adults using theoretical Grade 3 muscle strength value (moment fair: Mf—the static muscular moment to support a limb segment against gravity—from the manual muscle test by Daniels et al. A total of 130 healthy Japanese individuals divided by age group performed isometric muscle contractions at maximum effort for various movements of hip joint flexion and extension and knee joint flexion and extension, and the accompanying resisting force was measured and maximum muscle strength value (moment max, Mm was calculated. Body weight and limb segment length (thigh and lower leg length were measured, and Mf was calculated using anthropometric measures and theoretical calculation. There was a linear correlation between Mf and Mm in each of the four movement types in all groups, excepting knee flexion in elderly. However, the formula for predicting maximum muscle strength was not sufficiently compatible in middle-aged and elderly adults, suggesting that the formula obtained in this study is applicable in young adults only.

  20. A combined neural network and mechanistic approach for the prediction of corrosion rate and yield strength of magnesium-rare earth alloys

    Energy Technology Data Exchange (ETDEWEB)

    Birbilis, N., E-mail: nick.birbilis@monash.ed [ARC Centre of Excellence for Design in Light Metals, Monash University (Australia); CAST Co-operative Research Centre, Monash University (Australia); Cavanaugh, M.K. [Department of Materials Science and Engineering, The Ohio State University (United States); Sudholz, A.D. [ARC Centre of Excellence for Design in Light Metals, Monash University (Australia); Zhu, S.M.; Easton, M.A. [CAST Co-operative Research Centre, Monash University (Australia); Gibson, M.A. [CSIRO Division of Process Science and Engineering (Australia)

    2011-01-15

    Research highlights: This study presents a body of corrosion data for a set of custom alloys and displays this in multivariable space. These alloys represent the next generation of Mg alloys for auto applications. The data is processed using an ANN model, which makes it possible to yield a single expression for prediction of corrosion rate (and strength) as a function of any input composition (of Ce, La or Nd between 0 and 6 wt.%). The relative influence of the various RE elements on corrosion is assessed, with the outcome that Nd additions can offer comparable strength with minimal rise in corrosion rate. The morphology and solute present in the eutectic region itself (as opposed to just the intermetallic presence) was shown - for the first time - to also be a key contributor to corrosion. The above approach sets the foundation for rational alloy design of alloys with corrosion performance in mind. - Abstract: Additions of Ce, La and Nd to Mg were made in binary, ternary and quaternary combinations up to {approx}6 wt.%. This provided a dataset that was used in developing a neural network model for predicting corrosion rate and yield strength. Whilst yield strength increased with RE additions, corrosion rates also systematically increased, however, this depended on the type of RE element added and the combination of elements added (along with differences in intermetallic morphology). This work is permits an understanding of Mg-RE alloy performance, and can be exploited in Mg alloy design for predictable combinations of strength and corrosion resistance.

  1. Muscle Strength Is a Poor Screening Test for Predicting Lower Extremity Injuries in Professional Male Soccer Players: A 2-Year Prospective Cohort Study.

    Science.gov (United States)

    Bakken, Arnhild; Targett, Stephen; Bere, Tone; Eirale, Cristiano; Farooq, Abdulaziz; Mosler, Andrea B; Tol, Johannes L; Whiteley, Rod; Khan, Karim M; Bahr, Roald

    2018-03-01

    Lower extremity muscle strength tests are commonly used to screen for injury risk in professional soccer. However, there is limited evidence on the ability of such tests in predicting future injuries. To examine the association between hip and thigh muscle strength and the risk of lower extremity injuries in professional male soccer players. Case-control study; Level of evidence, 3. Professional male soccer players from 14 teams in Qatar underwent a comprehensive strength assessment at the beginning of the 2013/2014 and 2014/2015 seasons. Testing consisted of concentric and eccentric quadriceps and hamstring isokinetic peak torques, eccentric hip adduction and abduction forces, and bilateral isometric adductor force (squeeze test at 45°). Time-loss injuries and exposure in training and matches were registered prospectively by club medical staff throughout each season. Univariate and multivariate Cox regression analyses were used to calculate hazard ratios (HRs) with 95% CIs. In total, 369 players completed all strength tests and had registered injury and exposure data. Of these, 206 players (55.8%) suffered 538 lower extremity injuries during the 2 seasons; acute muscle injuries were the most frequent. Of the 20 strength measures examined, greater quadriceps concentric peak torque at 300 deg/s (HR, 1.005 [95% CI, 1.00-1.01]; P = .037) was the only strength measure identified as significantly associated with a risk of lower extremity injuries in multivariate analysis. Greater quadriceps concentric peak torque at 60 deg/s (HR, 1.004 [95% CI, 1.00-1.01]; P = .026) was associated with the risk of overuse injuries, and greater bilateral adductor strength adjusted for body weight (HR, 0.75 [95% CI, 0.57-0.97; P = .032) was associated with a lower risk for any knee injury. Receiver operating characteristic curve analyses indicated poor predictive ability of the significant strength variables (area under the curve, 0.45-0.56). There was a weak association with the risk of

  2. Defending majority voting systems against a strategic attacker

    International Nuclear Information System (INIS)

    Levitin, Gregory; Hausken, Kjell; Ben Haim, Hanoch

    2013-01-01

    Voting systems used in technical and tactical decision making in pattern recognition and target detection, data handling, signal processing, distributed and secure computing etc. are considered. A maxmin two period game is analyzed where the defender first protects and chooses units for participation in voting. The attacker thereafter attacks a subset of units. It is shown that when the defender protects all the voting units, the optimal number of units chosen for voting is either one or the maximal possible odd number. When the defender protects only the units chosen for voting, the optimal number of chosen units increases with the defender resource superiority (i.e., more resources than the attacker) and with probability of providing correct output by any unit. The system success probability always increases in the total number of voting units, the defender–attacker resource ratio, and the probability that each voting unit produces a correct output. The system success probability increases in the attacker–defender contest intensity if the defender achieves per-unit resource superiority, and otherwise decreases in the contest intensity. The presented model and enumerative algorithm allow obtaining optimal voting system defense strategy for any combination of parameters: total number of units, attack and defense resources, unit success probability and contest intensity.

  3. 29 CFR 1922.4 - Responsibilities of the Board; voting.

    Science.gov (United States)

    2010-07-01

    ... 29 Labor 7 2010-07-01 2010-07-01 false Responsibilities of the Board; voting. 1922.4 Section 1922.4 Labor Regulations Relating to Labor (Continued) OCCUPATIONAL SAFETY AND HEALTH ADMINISTRATION... WORKERS' COMPENSATION ACT § 1922.4 Responsibilities of the Board; voting. (a) Determinations and...

  4. Creating Discussions with Classroom Voting in Linear Algebra

    Science.gov (United States)

    Cline, Kelly; Zullo, Holly; Duncan, Jonathan; Stewart, Ann; Snipes, Marie

    2013-01-01

    We present a study of classroom voting in linear algebra, in which the instructors posed multiple-choice questions to the class and then allowed a few minutes for consideration and small-group discussion. After each student in the class voted on the correct answer using a classroom response system, a set of clickers, the instructor then guided a…

  5. Empirical study on voting power in participatory forest planning.

    Science.gov (United States)

    Vainikainen, N; Kangas, A; Kangas, J

    2008-07-01

    Multicriteria decision support systems are applied in natural resource management in order to clarify the planning process for the stakeholders, to make all available information usable and all objectives manageable. Especially when the public is involved in planning, the decision support system should be easy to comprehend, transparent and fair. Social choice theory has recently been applied to group decision-making in natural resources management to accomplish these objectives. Although voting forms the basis of democracy, and is usually taken as a fair method, the influence of voters over the outcome may vary. It is also possible to vote strategically to improve the results from each stakeholder's point of view. This study examines the use of social choice theory in revealing stakeholders' preferences in participatory forest planning, and the influence of different voters on the outcome. The positional voting rules examined were approval voting and Borda count, but both rules were slightly modified for the purposes of this study. The third rule examined, cumulative rule, resembles utilitarian voting rules. The voting rules were tested in a real participatory forest planning situation in eastern Lapland, Finland. All voting rules resulted in a different joint order of importance of the criteria. Yet, the preference orders produced had also a lot in common and the criteria could be divided into three quite distinct groups according to their importance. The influence of individual voters varied between the voting rules, and in each case different voter was the most influential.

  6. E-voting in Europe: divergent democratic practice

    NARCIS (Netherlands)

    Svensson, Jorgen S.; Leenes, R.E.

    2003-01-01

    Corresponding author Recent technological developments have opened up the possibility of electronic voting and this clearly provides some opportunities and threats. On the one hand, the new technology may help to make voting more cost effective and more convenient for the voter and may even increase

  7. Analysis of Spatial Voting Patterns: An Approach in Political Socialization

    Science.gov (United States)

    Klimasewski, Ted

    1973-01-01

    Passage of the 26th Amendment gave young adults the right to vote. This study attempts to further student understanding of the electoral process by presenting a method for analyzing spatial voting patterns. The spatial emphasis adds another dimension to the temporal and behavioral-structural approaches in studying the American electoral system.…

  8. The theory of voting and equilibria in noncooperative games

    DEFF Research Database (Denmark)

    Sloth, Birgitte

    1993-01-01

    We consider the problem of modeling voting situations, seeking models and equilibrium concepts which are easier to incorporate in large sequential decision games than the models and solution concepts used by the "theory of voting." It is demonstrated that one can avoid using very refined solution...

  9. Acceptance of voting technology: between confidence and trust

    NARCIS (Netherlands)

    Pieters, Wolter

    2006-01-01

    Social aspects of security of information systems are often discussed in terms of “actual security��? and “perceived security��?. This may lead to the hypothesis that e-voting is controversial because in paper voting, actual and perceived security coincide, whereas they do not in electronic systems.

  10. Comparing Youth Opinions toward Compulsory Voting across Five Countries

    Science.gov (United States)

    Pesek, Jessamay T.

    2014-01-01

    This study uses a comparative case study design to examine youth (ages 13-20) opinions toward compulsory voting across five democratic countries: Colombia, Ecuador, Mexico, Peru, and the United States. Youth responses toward compulsory voting demonstrate how youth come to learn about citizen rights and responsibilities with varied understandings…

  11. EU member states' voting for authorizing genetically engineered crops

    NARCIS (Netherlands)

    Smart, Richard D.; Blum, Matthias; Wesseler, Justus

    2015-01-01

    Several authors suggest a gridlock of the European Union's (EU's) approval process for genetically engineered (GE) crops. We analyse the voting behaviour of EU Member States (MSs) for voting results from 2003 to 2015 on the approval of GE crops to test for a gridlock; no reliable data are

  12. Internet voting: a monstrous alliance between democracy and technology?

    NARCIS (Netherlands)

    Pieters, Wolter; Sudweeks, F.; Hrachovec, H.; Ess, C.

    2006-01-01

    In this paper, we aim at finding a cultural explanation of the controversy around the introduction of electronic voting, especially Internet voting. In her PhD thesis, Martijntje Smits (2002b) argues that controversies surrounding the introduction of new technologies can often be explained in terms

  13. Expressive voting and political ideology in a laboratory democracy

    NARCIS (Netherlands)

    Wiese, Rasmus; Jong-A-Pin, Richard

    2017-01-01

    We test the theory of expressive voting in relation to political ideology in a laboratory experiment. After deriving our hypotheses from a decision theoretic model, we examine voting decisions in an experiment in which we use the size of the electorate as the treatment variable. Using a Heckman

  14. The design, purpose, and effects of voting advice applications

    NARCIS (Netherlands)

    Rosema, Martin; Anderson, Joel; Walgrave, Stefaan

    2014-01-01

    In recent electoral politics, one of the most striking internet-related developments is the increasingly widespread use of Voting Advice Applications (VAAs). In this introduction to the symposium devoted to analysing the design, purpose, and effects of voting advice applications, we briefly discuss

  15. Gendering the vote for populist radical-right parties

    NARCIS (Netherlands)

    Spierings, N.; Zaslove, A.S.

    2015-01-01

    Why do more men than women vote for populist radical-right (PRR) parties? And do more men than women still vote for the PRR? Can attitudes regarding gender and gender equality explain these differences (if they exist)? These are the questions that Spierings and Zaslove explore in this article. They

  16. 11 CFR 110.18 - Voting age population.

    Science.gov (United States)

    2010-01-01

    ... 11 Federal Elections 1 2010-01-01 2010-01-01 false Voting age population. 110.18 Section 110.18 Federal Elections FEDERAL ELECTION COMMISSION GENERAL CONTRIBUTION AND EXPENDITURE LIMITATIONS AND... population of the United States, of each State, and of each Congressional district. The term voting age...

  17. Online Voting System Based on Image Steganography and Visual Cryptography

    Directory of Open Access Journals (Sweden)

    Biju Issac

    2017-01-01

    Full Text Available This paper discusses the implementation of an online voting system based on image steganography and visual cryptography. The system was implemented in Java EE on a web-based interface, with MySQL database server and Glassfish application server as the backend. After considering the requirements of an online voting system, current technologies on electronic voting schemes in published literature were examined. Next, the cryptographic and steganography techniques best suited for the requirements of the voting system were chosen, and the software was implemented. We have incorporated in our system techniques like the password hashed based scheme, visual cryptography, F5 image steganography and threshold decryption cryptosystem. The analysis, design and implementation phase of the software development of the voting system is discussed in detail. We have also used a questionnaire survey and did the user acceptance testing of the system.

  18. Anonymous voting for multi-dimensional CV quantum system

    International Nuclear Information System (INIS)

    Shi Rong-Hua; Xiao Yi; Shi Jin-Jing; Guo Ying; Lee, Moon-Ho

    2016-01-01

    We investigate the design of anonymous voting protocols, CV-based binary-valued ballot and CV-based multi-valued ballot with continuous variables (CV) in a multi-dimensional quantum cryptosystem to ensure the security of voting procedure and data privacy. The quantum entangled states are employed in the continuous variable quantum system to carry the voting information and assist information transmission, which takes the advantage of the GHZ-like states in terms of improving the utilization of quantum states by decreasing the number of required quantum states. It provides a potential approach to achieve the efficient quantum anonymous voting with high transmission security, especially in large-scale votes. (paper)

  19. Phase transition and information cascade in a voting model

    Energy Technology Data Exchange (ETDEWEB)

    Hisakado, M [Standard and Poor' s, Marunouchi 1-6-5, Chiyoda ku, Tokyo 100-0005 (Japan); Mori, S, E-mail: masato_hisakado@standardandpoors.co, E-mail: mori@sci.kitasato-u.ac.j [Department of Physics, School of Science, Kitasato University, Kitasato 1-15-1, Sagamihara, Kanagawa 228-8555 (Japan)

    2010-08-06

    In this paper, we introduce a voting model that is similar to a Keynesian beauty contest and analyse it from a mathematical point of view. There are two types of voters-copycat and independent-and two candidates. Our voting model is a binomial distribution (independent voters) doped in a beta binomial distribution (copycat voters). We find that the phase transition in this system is at the upper limit of t, where t is the time (or the number of the votes). Our model contains three phases. If copycats constitute a majority or even half of the total voters, the voting rate converges more slowly than it would in a binomial distribution. If independents constitute the majority of voters, the voting rate converges at the same rate as it would in a binomial distribution. We also study why it is difficult to estimate the conclusion of a Keynesian beauty contest when there is an information cascade.

  20. Phase transition and information cascade in a voting model

    International Nuclear Information System (INIS)

    Hisakado, M; Mori, S

    2010-01-01

    In this paper, we introduce a voting model that is similar to a Keynesian beauty contest and analyse it from a mathematical point of view. There are two types of voters-copycat and independent-and two candidates. Our voting model is a binomial distribution (independent voters) doped in a beta binomial distribution (copycat voters). We find that the phase transition in this system is at the upper limit of t, where t is the time (or the number of the votes). Our model contains three phases. If copycats constitute a majority or even half of the total voters, the voting rate converges more slowly than it would in a binomial distribution. If independents constitute the majority of voters, the voting rate converges at the same rate as it would in a binomial distribution. We also study why it is difficult to estimate the conclusion of a Keynesian beauty contest when there is an information cascade.

  1. Phase transition and information cascade in a voting model

    Science.gov (United States)

    Hisakado, M.; Mori, S.

    2010-08-01

    In this paper, we introduce a voting model that is similar to a Keynesian beauty contest and analyse it from a mathematical point of view. There are two types of voters—copycat and independent—and two candidates. Our voting model is a binomial distribution (independent voters) doped in a beta binomial distribution (copycat voters). We find that the phase transition in this system is at the upper limit of t, where t is the time (or the number of the votes). Our model contains three phases. If copycats constitute a majority or even half of the total voters, the voting rate converges more slowly than it would in a binomial distribution. If independents constitute the majority of voters, the voting rate converges at the same rate as it would in a binomial distribution. We also study why it is difficult to estimate the conclusion of a Keynesian beauty contest when there is an information cascade.

  2. Digital Voting Systems and Communication in Classroom Lectures

    DEFF Research Database (Denmark)

    Mathiasen, Helle

    2015-01-01

    Studies on the use of digital voting systems in large group teaching situations have often focused on the ”non-anonymity” and control and testing functions that the technology provides. There has also been some interest in how students might use their votes tactically to gain “credits”. By focusing...... on an empirical study of students’ experiences with digital voting systems in lectures at two Danish universities, this study considers the premises and the contexts surrounding this technology. It will also aim to show that for both instructors and students, digital voting systems are a much broader resource...... than simply a device for facilitating ”non-anonymity”, test, control and allocation of credits. The case studies showed, for instance, that digital voting systems can be conducive to a more open approach in which the systems are used as communication tools and teaching resources in situations where...

  3. A comprehensive strength testing protocol offers no clinical value in predicting risk of hamstring injury: a prospective cohort study of 413 professional football players.

    Science.gov (United States)

    van Dyk, Nicol; Bahr, Roald; Burnett, Angus F; Whiteley, Rod; Bakken, Arnhild; Mosler, Andrea; Farooq, Abdulaziz; Witvrouw, Erik

    2017-12-01

    Hamstring injuries remain prevalent across a number of professional sports. In football, the incidence has even increased by 4% per year at the Champions League level over the last decade. The role of muscle strength or strength ratios and their association with risk of hamstring injury remain restricted by small sample sizes and inconclusive results. The purpose of this study is to identify risk factors for hamstring injury in professional football players in an adequately powered, prospective cohort study. Using both established (isokinetic) and novel (eccentric hamstring test device) measures of muscle strength, we aimed to investigate the relationship between these strength characteristics over the entire range of motion with risk of hamstring injury. All teams (n=18) eligible to compete in the premier football league in Qatar underwent a comprehensive strength assessment during their annual periodic health evaluation at Aspetar Orthopaedic and Sports Medicine Hospital in Doha, Qatar. Variables included isokinetic strength, Nordic hamstring exercise strength and dynamic hamstring: quadriceps ratios. Of the 413 players included (68.2% of all league players), 66 suffered a hamstring injury over the two seasons. Only isokinetic quadriceps concentric at 300°/s (adjusted for bodyweight) was associated with risk of hamstring injury when considered categorically. Age, body mass and playing position were also associated with risk of hamstring injury. None of the other 23 strength variables examined were found to be associated with hamstring injury. The clinical value of isolated strength testing is limited, and its use in musculoskeletal screening to predict future hamstring injury is unfounded. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

  4. Prediction of the fatigue curve parameters of high strength steels in terms of the static and microplastic deformations of samples

    International Nuclear Information System (INIS)

    Shetulov, D.I.; Kryukov, L.T.; Myasnikov, A.M.

    2015-01-01

    The cycling and static strengths of a wide range of high-strength steels have been experimentally tested. Correlation between the three parameters-microplastic deformation, strain hardening coefficient, and the slope of the curve to the axis of load cycles-has been established [ru

  5. Nondestructive characterization of materials (ultrasonic and micromagnetic techniques) for strength and toughness prediction and the detection of early creep damage

    International Nuclear Information System (INIS)

    Dobmann, G.; Kroening, M.; Theiner, W.; Willems, H.; Fiedler, U.

    1995-01-01

    In recent years, nondestructive testing techniques for materials characterization have been developed in Germany under the sponsorship of the Ministry of Research and Development, as part of the Reactor Safety Research Programme, in order to provide techniques for PSI and ISI that are sensitive and reliable, in particular with respect to the prediction of strength and toughness. As ferritic steels (pressure vessels and pipelines in the primary circuit) are of special interest, R and D was concentrated on micromagnetic techniques which are sensitive to the microstructure and its changes under service and/or repair conditions. In order to characterize microstructural states superimposed by residual stresses in an unambiguous way, numerical modelling was applied using advanced tools of mathematical approximation theory, i.e. multiregression algorithms and neural networks.For the detection of early creep damage in fossil power plant applications, i.e. micropores and their subsequent development to linked pores and microcracks, besides the micromagnetic techniques an ultrasonic technique was also applied and optimized for in situ applications on components such as pipe bends. Whereas the ultrasonic technique is sensitive to pore concentrations as small as about 0.2%, the parameters of the micromagnetic techniques are mainly influenced by temperature- and load-induced microstructural changes occurring in service, dependent on the steel quality. The techniques are applied at two pipe bends (steel grades 14MoV63 and X20CrMoV121) loaded under near practical conditions during seven inspection intervals between 2048h and 21000h to evaluate the progress of damage. (orig.)

  6. Conditions of vacuous voting in the boardroom

    Directory of Open Access Journals (Sweden)

    Darlene M. Andert

    2007-01-01

    Full Text Available The issue of U.S. corporate governance has been approached as a management structure without regard for the non-hierarchical oversight qualities that are embedded in the legal foundation of its birth. This paper reviews the: (1 U.S. federal Model Business Corporation that unifies the individual state corporate enabling statutes; and (2 The Delaware General Corporation Law that applies to over half of the U.S. Fortune 500 companies and posits the structure of U.S. corporate governance is nonhierarchical, though practiced hierarchically. Further, it is not always the full board that creates board action, and asymmetrical communication and asymmetrical member action create the conditions for vacuous voting.

  7. Legal requirements governing proxy voting in Denmark

    DEFF Research Database (Denmark)

    Werlauff, Erik

    2008-01-01

    The requirements in Danish company law concerning proxy voting in companies whose shares have been accepted for listing on a regulated market have been successively tightened in recent years, and corporate governance principles have also led to the introduction of several requirements concerning...... proxy holders. A thorough knowledge of these requirements is important not only for the listed companies but also for their advisers and investors in Denmark and abroad. This article considers these requirements as well as the additional requirements which will derive from Directive 2007....../36 on the exercise of shareholders' rights in listed companies, which must be implemented by 3 August 2009. It is pointed out that companies may provide with advantage in their articles of association for both the existing and the forthcoming requirements at this early stage....

  8. Isokinetic strength assessment offers limited predictive validity for detecting risk of future hamstring strain in sport: a systematic review and meta-analysis.

    Science.gov (United States)

    Green, Brady; Bourne, Matthew N; Pizzari, Tania

    2018-03-01

    To examine the value of isokinetic strength assessment for predicting risk of hamstring strain injury, and to direct future research into hamstring strain injuries. Systematic review. Database searches for Medline, CINAHL, Embase, AMED, AUSPORT, SPORTDiscus, PEDro and Cochrane Library from inception to April 2017. Manual reference checks, ahead-of-press and citation tracking. Prospective studies evaluating isokinetic hamstrings, quadriceps and hip extensor strength testing as a risk factor for occurrence of hamstring muscle strain. Independent search result screening. Risk of bias assessment by independent reviewers using Quality in Prognosis Studies tool. Best evidence synthesis and meta-analyses of standardised mean difference (SMD). Twelve studies were included, capturing 508 hamstring strain injuries in 2912 athletes. Isokinetic knee flexor, knee extensor and hip extensor outputs were examined at angular velocities ranging 30-300°/s, concentric or eccentric, and relative (Nm/kg) or absolute (Nm) measures. Strength ratios ranged between 30°/s and 300°/s. Meta-analyses revealed a small, significant predictive effect for absolute (SMD=-0.16, P=0.04, 95% CI -0.31 to -0.01) and relative (SMD=-0.17, P=0.03, 95% CI -0.33 to -0.014) eccentric knee flexor strength (60°/s). No other testing speed or strength ratio showed statistical association. Best evidence synthesis found over half of all variables had moderate or strong evidence for no association with future hamstring injury. Despite an isolated finding for eccentric knee flexor strength at slow speeds, the role and application of isokinetic assessment for predicting hamstring strain risk should be reconsidered, particularly given costs and specialised training required. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

  9. Digital herders and phase transition in a voting model

    Energy Technology Data Exchange (ETDEWEB)

    Hisakado, M [Standard and Poor' s, Marunouchi 1-6-5, Chiyoda ku, Tokyo 100-0005 (Japan); Mori, S, E-mail: masato_hisakado@standardandpoors.com, E-mail: mori@sci.kitasato-u.ac.jp [Department of Physics, School of Science, Kitasato University, Kitasato 1-15-1, Sagamihara, Kanagawa 228-8555 (Japan)

    2011-07-08

    In this paper, we discuss a voting model with two candidates, C{sub 1} and C{sub 2}. We set two types of voters-herders and independents. The voting of independent voters is based on their fundamental values; on the other hand, the voting of herders is based on the number of votes. Herders always select the majority of the previous r votes, which are visible to them. We call them digital herders. We can accurately calculate the distribution of votes for special cases. When r {>=} 3, we find that a phase transition occurs at the upper limit of t, where t is the discrete time (or number of votes). As the fraction of herders increases, the model features a phase transition beyond which a state where most voters make the correct choice coexists with one where most of them are wrong. On the other hand, when r < 3, there is no phase transition. In this case, the herders' performance is the same as that of the independent voters. Finally, we recognize the behavior of human beings by conducting simple experiments.

  10. Digital herders and phase transition in a voting model

    International Nuclear Information System (INIS)

    Hisakado, M; Mori, S

    2011-01-01

    In this paper, we discuss a voting model with two candidates, C 1 and C 2 . We set two types of voters-herders and independents. The voting of independent voters is based on their fundamental values; on the other hand, the voting of herders is based on the number of votes. Herders always select the majority of the previous r votes, which are visible to them. We call them digital herders. We can accurately calculate the distribution of votes for special cases. When r ≥ 3, we find that a phase transition occurs at the upper limit of t, where t is the discrete time (or number of votes). As the fraction of herders increases, the model features a phase transition beyond which a state where most voters make the correct choice coexists with one where most of them are wrong. On the other hand, when r < 3, there is no phase transition. In this case, the herders' performance is the same as that of the independent voters. Finally, we recognize the behavior of human beings by conducting simple experiments.

  11. Modelling and Predicting the Breaking Strength and Mass Irregularity of Cotton Rotor-Spun Yarns Containing Cotton Fiber Recovered from Ginning Process by Using Artificial Neural Network Algorithm

    Directory of Open Access Journals (Sweden)

    Mohsen Shanbeh

    2011-01-01

    Full Text Available One of the main methods to reduce the production costs is waste recycling which is the most important challenge for the future. Cotton wastes collected from ginning process have desirable properties which could be used during spinning process. The purpose of this study was to develop predictive models of breaking strength and mass irregularity (CV% of cotton waste rotor-spun yarns containing cotton waste collected from ginning process by using the artificial neural network trained with backpropagation algorithm. Artificial neural network models have been developed based on rotor diameter, rotor speed, navel type, opener roller speed, ginning waste proportion and yarn linear density as input parameters. The parameters of artificial neural network model, namely, learning, and momentum rate, number of hidden layers and number of hidden processing elements (neurons were optimized to get the best predictive models. The findings showed that the breaking strength and mass irregularity of rotor spun yarns could be predicted satisfactorily by artificial neural network. The maximum error in predicting the breaking strength and mass irregularity of testing data was 8.34% and 6.65%, respectively.

  12. Vote Stuffing Control in IPTV-based Recommender Systems

    Science.gov (United States)

    Bhatt, Rajen

    Vote stuffing is a general problem in the functioning of the content rating-based recommender systems. Currently IPTV viewers browse various contents based on the program ratings. In this paper, we propose a fuzzy clustering-based approach to remove the effects of vote stuffing and consider only the genuine ratings for the programs over multiple genres. The approach requires only one authentic rating, which is generally available from recommendation system administrators or program broadcasters. The entire process is automated using fuzzy c-means clustering. Computational experiments performed over one real-world program rating database shows that the proposed approach is very efficient for controlling vote stuffing.

  13. Quantum voting and violation of Arrow's impossibility theorem

    Science.gov (United States)

    Bao, Ning; Yunger Halpern, Nicole

    2017-06-01

    We propose a quantum voting system in the spirit of quantum games such as the quantum prisoner's dilemma. Our scheme enables a constitution to violate a quantum analog of Arrow's impossibility theorem. Arrow's theorem is a claim proved deductively in economics: Every (classical) constitution endowed with three innocuous-seeming properties is a dictatorship. We construct quantum analogs of constitutions, of the properties, and of Arrow's theorem. A quantum version of majority rule, we show, violates this quantum Arrow conjecture. Our voting system allows for tactical-voting strategies reliant on entanglement, interference, and superpositions. This contribution to quantum game theory helps elucidate how quantum phenomena can be harnessed for strategic advantage.

  14. A combined neural network and mechanistic approach for the prediction of corrosion rate and yield strength of magnesium-rare earth alloys

    International Nuclear Information System (INIS)

    Birbilis, N.; Cavanaugh, M.K.; Sudholz, A.D.; Zhu, S.M.; Easton, M.A.; Gibson, M.A.

    2011-01-01

    Research highlights: → This study presents a body of corrosion data for a set of custom alloys and displays this in multivariable space. These alloys represent the next generation of Mg alloys for auto applications. → The data is processed using an ANN model, which makes it possible to yield a single expression for prediction of corrosion rate (and strength) as a function of any input composition (of Ce, La or Nd between 0 and 6 wt.%). → The relative influence of the various RE elements on corrosion is assessed, with the outcome that Nd additions can offer comparable strength with minimal rise in corrosion rate. → The morphology and solute present in the eutectic region itself (as opposed to just the intermetallic presence) was shown - for the first time - to also be a key contributor to corrosion. → The above approach sets the foundation for rational alloy design of alloys with corrosion performance in mind. - Abstract: Additions of Ce, La and Nd to Mg were made in binary, ternary and quaternary combinations up to ∼6 wt.%. This provided a dataset that was used in developing a neural network model for predicting corrosion rate and yield strength. Whilst yield strength increased with RE additions, corrosion rates also systematically increased, however, this depended on the type of RE element added and the combination of elements added (along with differences in intermetallic morphology). This work is permits an understanding of Mg-RE alloy performance, and can be exploited in Mg alloy design for predictable combinations of strength and corrosion resistance.

  15. The bioimpedance phase angle predicts low muscle strength, impaired quality of life, and increased mortality in old patients with cancer.

    Science.gov (United States)

    Norman, Kristina; Wirth, Rainer; Neubauer, Maxi; Eckardt, Rahel; Stobäus, Nicole

    2015-02-01

    We investigated the impact of low phase angle (PhA) values on muscle strength, quality of life, symptom severity, and 1-year mortality in older cancer patients. Prospective study with 1-year follow-up. Cancer patients aged >60 years. PhA was derived from whole body impedance analysis. The fifth percentile of age-, sex-, and body mass index-stratified reference values were used as cut-off. Quality of life was determined with the European Organization of Research and Treatment in Cancer questionnaire, reflecting both several function scales and symptom severity. Muscle strength was assessed by hand grip strength, knee extension strength, and peak expiratory flow. 433 cancer patients, aged 60-95 years, were recruited. Patients with low PhA (n = 197) exhibited decreased muscle strength compared with patients with normal PhA (hand grip strength: 22 ± 8.6 vs 28.9 ± 8.9 kg, knee extension strength: 20.8 ± 11.8 vs 28.1 ± 14.9 kg, and peak expiratory flow: 301.1 ± 118 vs 401.7 ± 142.6 L/min, P Cancer questionnaire were reduced, and most symptoms (fatigue, anorexia, pain, and dyspnea) increased in patients with low PhA (P quality of life, and increased mortality in old patients with cancer and should be evaluated in routine assessment. Copyright © 2015 AMDA – The Society for Post-Acute and Long-Term Care Medicine. Published by Elsevier Inc. All rights reserved.

  16. Allegheny County Voting District Boundaries (Spring 2015 - Spring 2016)

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset demarcates municipal voting districts in Allegheny County. If viewing this description on the Western Pennsylvania Regional Data Center’s open data...

  17. Allegheny County Voting District Boundaries (Spring 2017 - present)

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset demarcates municipal voting districts in Allegheny County.If viewing this description on the Western Pennsylvania Regional Data Center’s open data...

  18. Allegheny County Voting District Boundaries (Fall 2016 - Spring 2017)

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset demarcates municipal voting districts in Allegheny County. If viewing this description on the Western Pennsylvania Regional Data Center’s open data...

  19. Motion Detection in Ultrasound Image-Sequences Using Tensor Voting

    Science.gov (United States)

    Inba, Masafumi; Yanagida, Hirotaka; Tamura, Yasutaka

    2008-05-01

    Motion detection in ultrasound image sequences using tensor voting is described. We have been developing an ultrasound imaging system adopting a combination of coded excitation and synthetic aperture focusing techniques. In our method, frame rate of the system at distance of 150 mm reaches 5000 frame/s. Sparse array and short duration coded ultrasound signals are used for high-speed data acquisition. However, many artifacts appear in the reconstructed image sequences because of the incompleteness of the transmitted code. To reduce the artifacts, we have examined the application of tensor voting to the imaging method which adopts both coded excitation and synthetic aperture techniques. In this study, the basis of applying tensor voting and the motion detection method to ultrasound images is derived. It was confirmed that velocity detection and feature enhancement are possible using tensor voting in the time and space of simulated ultrasound three-dimensional image sequences.

  20. Two kinds of phase transitions in a voting model

    Science.gov (United States)

    Hisakado, M.; Mori, S.

    2012-08-01

    In this paper, we discuss a voting model with two candidates, C0 and C1. We consider two types of voters—herders and independents. The voting of independents is based on their fundamental values, while the voting of herders is based on the number of previous votes. We can identify two kinds of phase transitions. One is an information cascade transition similar to a phase transition seen in the Ising model. The other is a transition of super and normal diffusions. These phase transitions coexist. We compared our results to the conclusions of experiments and identified the phase transitions in the upper limit of the time t by using the analysis of human behavior obtained from experiments.

  1. Psychosocial Correlates as Predictors of Voting Behaviour in Ogun ...

    African Journals Online (AJOL)

    . ... The study examines the influence of some psychosocial factors (age, gender, perceived benefit, self-esteem, personality, and personal attributes of the candidate, religious and ethnic affiliation) on the voting behaviour of Nigerians.

  2. a technological framework for transparent e-voting solution

    African Journals Online (AJOL)

    user

    Brazil, India, Kazakhstan, Peru, Russia, USA, UAE, and. Venezuela are legally ..... The wireless technology however, must be secure .... upon the reception of GSM network signal during its .... Wallach, “Analysis of an Electronic Voting System”,.

  3. Executive compensation, financial performance and say on pay votes

    Directory of Open Access Journals (Sweden)

    Xiaoli Yuan

    2017-03-01

    Full Text Available The Dodd–Frank Wall Street Reform and Consumer Protection Act of 2010 was passed as a response to the late-2000s recession. A shareholder opt-in executive pay vote was introduced as a solution to the managerial power problem. We examine the results of this recommended solution and prove its viability. We find that there is a stronger association between high CEO pay and low say-on-pay vote support for firms with negative financial performance. We also find the market-to-book ratio is significantly lower for companies that failed say-on-pay votes. Furthermore, regulated industries such as financial services are more likely receive unfavourable say-on-pay votes. We document an increase in the sensitivity of CEO pay to poor performance. Overall, these finds are consistent with calls for less “rewards for failure” that led to the Dodd–Frank Wall Street Reform and Consumer Protection Act.

  4. VT Data - Voting Tabulation Areas per Decennial Redistricting 2012

    Data.gov (United States)

    Vermont Center for Geographic Information — (Link to Metadata) This layer represents the smallest voting tabulation area. In some cases, the geographic extent is a municipality, in other cases it is a section...

  5. Dimension, Egalitarianism and Decisiveness of European Voting Systems

    Directory of Open Access Journals (Sweden)

    Francesc Carreras

    2016-01-01

    Full Text Available An analysis of three major aspects has been carried out that may apply to any of the successive voting systems used for the European Union Council of Ministers, from the first one established in the Treaty of Rome in 1958 to the current one established in Lisbon. We mainly consider the voting systems designed for the enlarged European Union adopted in the Athens summit, held in April 2003 but this analysis can be applied to any other system. First, it is shown that the dimension of these voting systems does not, in general, reduce. Next, the egalitarian effects of superposing two or three weighted majority games (often by introducing additional consensus are considered. Finally, the decisiveness of these voting systems is evaluated and compared. (original abstract

  6. An analytical method to assess the damage and predict the residual strength of a ship in a shoal grounding accident scenario

    Directory of Open Access Journals (Sweden)

    Sun Bin

    2016-04-01

    Full Text Available In this paper, a simplified analytical method used to predict the residual ultimate strength of a ship hull after a shoal grounding accident is proposed. Shoal grounding accidents always lead to severe denting, though not tearing, of the ship bottom structure, which may threaten the global hull girder resistance and result in even worse consequences, such as hull collapse. Here, the degree of damage of the bottom structure is predicted by a series of analytical methods based on the plastic-elastic deformation mechanism. The energy dissipation of a ship bottom structure is obtained from individual components to determine the sliding distance of the seabed obstruction. Then, a new approach to assess the residual strength of the damaged ship subjected to shoal grounding is proposed based on the improved Smith's method. This analytical method is verified by comparing the results of the proposed method and those generated by numerical simulation using the software ABAQUS. The proposed analytical method can be used to assess the safety of a ship with a double bottom during its design phase and predict the residual ultimate strength of a ship after a shoal grounding accident occurs.

  7. Determining Criteria to Predict Repeatability of Performance in Older Adults: Using Coefficients of Variation for Strength and Functional Measures.

    Science.gov (United States)

    Raj, Isaac Selva; Bird, Stephen R; Westfold, Ben A; Shield, Anthony J

    2017-01-01

    Reliable measures of muscle strength and functional capacity in older adults are essential. The aim of this study was to determine whether coefficients of variation (CVs) of individuals obtained at the first session can infer repeatability of performance in a subsequent session. Forty-eight healthy older adults (mean age 68.6 ± 6.1 years; age range 60-80 years) completed two assessment sessions, and on each occasion undertook: dynamometry for isometric and isokinetic quadriceps strength, 6 meter fast walk (6MFWT), timed up and go (TUG), stair climb and descent, and vertical jump. Significant linear relationships were observed between CVs in session 1 and the percentage difference between sessions 1 and 2 for torque at 60, 120, 240 and 360°/s, 6MFWT, TUG, stair climb, and stair descent. The results of this study could be used to establish criteria for determining an acceptably reliable performance in strength and functional tests.

  8. The Drastic Outcomes from Voting Alliances in Three-Party Democratic Voting (1990 → 2013)

    Science.gov (United States)

    Galam, Serge

    2013-04-01

    The drastic effect of local alliances in three-party competition is investigated in democratic hierarchical bottom-up voting. The results are obtained analytically using a model which extends a sociophysics frame introduced in 1986 (Galam in J. Math. Phys. 30:426, 1986) and 1990 (Galam in J. Stat. Phys. 61:943, 1990) to study two-party systems and the spontaneous formation of democratic dictatorship. It is worth stressing that the 1990 paper was published in the Journal of Statistical Physics, the first paper of its kind in this journal. It was shown how a minority in power can preserve its leadership using bottom-up democratic elections. However such a bias holds only down to some critical value of minimum support. The results were used latter to explain the sudden collapse of European communist parties in the nineties. The extension to three-party competition reveals the mechanisms by which a very small minority party can get a substantial representation at higher levels of the hierarchy when the other two competing parties are big. Additional surprising results are obtained, which enlighten the complexity of three-party democratic bottom-up voting. In particular, the unexpected outcomes of local voting alliances are singled out. Unbalanced democratic situations are exhibited with strong asymmetries between the actual bottom support of a party and its associated share of power at the top leadership. Subtle strategies are identified for a party to maximize its hold on the top leadership. The results are also valid to describe opinion dynamics with three competing opinions.

  9. Voting Behaviour in the 2009 South African Election

    OpenAIRE

    Norbert Kersting

    2010-01-01

    This article analyses voting behaviour in the South African election of 2009 and draws conclusions regarding the significance of party affiliation and issue-based voting in South Africa. It demonstrates the low level of voter registration and voter turnout. In the 2009 election the Independent Electoral Commission had problems with electoral management for the first time; however, it was able to prevent electoral violence. During the campaign the newly founded COPE focused on institutional re...

  10. Voting behaviour in the 2009 South African election

    OpenAIRE

    Kersting, Norbert

    2009-01-01

    This article analyses voting behaviour in the South African election of 2009 and draws conclusions regarding the significance of party affiliation and issue-based voting in South Africa. It demonstrates the low level of voter registration and voter turnout. In the 2009 election the Independent Electoral Commission had problems with electoral management for the first time; however, it was able to prevent electoral violence. During the campaign the newly founded COPE focused on institutional re...

  11. 39 CFR 6.6 - Quorum and voting.

    Science.gov (United States)

    2010-07-01

    ... 39 Postal Service 1 2010-07-01 2010-07-01 false Quorum and voting. 6.6 Section 6.6 Postal Service....6 Quorum and voting. As provided by 39 U.S.C. 205(c), the Board acts by resolution upon a majority... the compensation and benefits of the Postmaster General and Deputy Postmaster General, 39 U.S.C. 205(c...

  12. Normal estimation for pointcloud using GPU based sparse tensor voting

    OpenAIRE

    Liu , Ming; Pomerleau , François; Colas , Francis; Siegwart , Roland

    2012-01-01

    International audience; Normal estimation is the basis for most applications using pointcloud, such as segmentation. However, it is still a challenging problem regarding computational complexity and observation noise. In this paper, we propose a normal estimation method for pointcloud using results from tensor voting. Comparing with other approaches, we show it has smaller estimation error. Moreover, by varying the voting kernel size, we find it is a flexible approach for structure extraction...

  13. A Theory of Strategic Voting in Runoff Elections

    OpenAIRE

    Laurent Bouton

    2013-01-01

    This paper analyzes the properties of runoff electoral systems when voters are strategic. A model of three-candidate runoff elections is presented, and two new features are included: the risk of upset victory in the second round is endogenous, and many types of runoff systems are considered. Three main results emerge. First, runoff elections produce equilibria in which only two candidates receive a positive fraction of the votes. Second, a sincere voting equilibrium does not always exist. Fin...

  14. Yield strength prediction in Ni-base alloy 718Plus based on thermo-kinetic precipitation simulation

    International Nuclear Information System (INIS)

    Ahmadi, M.R.; Povoden-Karadeniz, E.; Whitmore, L.; Stockinger, M.; Falahati, A.; Kozeschnik, E.

    2014-01-01

    The yield strength of Allvac ® 718Plus ™ during aging is computed using integrated physical models that take into account intrinsic, grain boundary, solid solution and precipitate strengthening contributions. Precipitation strengthening of γ′ has the main effect on the final yield strength in this alloy during aging, with the coherency and anti-phase boundary effects providing the major strengthening contributions. We utilize transmission electron microscopy to obtain the unknown physical parameters entering the strengthening models and compare precipitate size and distribution with the simulation results

  15. Multi-Task Vehicle Detection with Region-of-Interest Voting.

    Science.gov (United States)

    Chu, Wenqing; Liu, Yao; Shen, Chen; Cai, Deng; Hua, Xian-Sheng

    2017-10-12

    Vehicle detection is a challenging problem in autonomous driving systems, due to its large structural and appearance variations. In this paper, we propose a novel vehicle detection scheme based on multi-task deep convolutional neural networks (CNN) and region-of-interest (RoI) voting. In the design of CNN architecture, we enrich the supervised information with subcategory, region overlap, bounding-box regression and category of each training RoI as a multi-task learning framework. This design allows the CNN model to share visual knowledge among different vehicle attributes simultaneously, thus detection robustness can be effectively improved. In addition, most existing methods consider each RoI independently, ignoring the clues from its neighboring RoIs. In our approach, we utilize the CNN model to predict the offset direction of each RoI boundary towards the corresponding ground truth. Then each RoI can vote those suitable adjacent bounding boxes which are consistent with this additional information. The voting results are combined with the score of each RoI itself to find a more accurate location from a large number of candidates. Experimental results on the real-world computer vision benchmarks KITTI and the PASCAL2007 vehicle dataset show that our approach achieves superior performance in vehicle detection compared with other existing published works.

  16. Towards a Standard Architecture for Digital Voting Systems - Defining a Generalized Ballot Schema

    DEFF Research Database (Denmark)

    Cochran, Dermot Robert

    2015-01-01

    Many electoral jurisdictions have their own distinctive voting schemes. There is no clear consensus about the ideal voting scheme for fair elections. Various systems for electronic and online voting have been either proposed or developed, but these systems tend to be aimed at particular vote...... counting schemes e.g. plurality. This paper proposes a way to decouple the ballot casting process from the vote counting scheme, using a generalized ballot schema....

  17. Prediction of Strength for Inhomogeneous : Defective Glass Elements Based on the Sequential Partitioning of the Data and Weibull Statistical Distribution

    NARCIS (Netherlands)

    Shabetia, Alexander; Rodichev, Yurii; Veer, F.A.; Soroka, Elena; Louter, Christian; Bos, Freek; Belis, Jan; Veer, Fred; Nijsse, Rob

    An analytical approach based on the on the sequential partitioning of the data and Weibull Statistical Distribution for inhomogeneous - defective materials is proposed. It allows assessing the guaranteed strength of glass structures for the low probability of fracture with a higher degree of

  18. The role of fat in the prediction of bone strength of porcine lumbar vertebrae by quanititative computed tomography

    International Nuclear Information System (INIS)

    Chang, G.L.; Tsai, K.H.; Yu, C.Y.; Lin, R.M.

    1996-01-01

    In order to prevent cancellous bone fractures, and understanding of the strength characteristics of cancellous bone must be achieved. Although there is a definite relationship between the strengt and relative ash content of the vertebrae, the well-known relationship is not practical in clinical use. As we know, QCT was regarded as an ideal method because it is a cross-sectional tecnique. However, no matter what kind of CT machine was used, the physiological factor must be influencing the accuracy in QCT measurement. Because a given region of the vertebrae contains bone mineral, bone matrix, fatty marrow and red marrow. In words, the role of fat content in bony strength and QCT measurement remained obscure. If QCT can reflect the bone strength to a reliable level and the influence of fat on QCT can be clarified, then QCT may become more useful. Therefore, the purpose of this study was to investigate the relationships among fat content, bone strength and QCT. Six freshly female porcine lumbar spinal semgemts were used in this study. Poster 182. (author)

  19. Vitamin D status predicts hand-grip strength in young adult women living in Auckland, New Zealand.

    Science.gov (United States)

    von Hurst, P R; Conlon, C; Foskett, A

    2013-07-01

    The identification of the vitamin D receptor (VDR) in skeletal muscle tissue and research in muscle strength and development in VDR-null mice confirms a role for vitamin D in muscle function. The relationship between muscle strength and vitamin D status has been explored to some degree in older populations with regard to fall prevention, but there has been very little research in younger adults. This cross-sectional study considered the predictors of muscle strength in 137 young women (19-29 years) living in New Zealand. The following measurements were taken in the latter months of winter: plasma 25OHD, dominant (HGD) and non-dominant hand-grip (HGND) strength (hand-grip dynamometer), counter measure jump, and recreational physical activity (RPA) assessed from a recent physical activity questionnaire (RPAQ). Dietary intake was measured with a four-day food diary, and body composition using air displacement plethysmography. This was a relatively inactive group of women; total RPA ranged from 0 to 3.93h per week, mean (SD) 0.86(0.74) h, approximately 50% comprised outdoor activities. Mean 25OHD was 54(28)nmol/l, HGD and HGND were significantly different (t=6.049, pstrength as the dependent variable (Model R(2)=0.11, p=0.001 non-dominant, R(2)=0.13, pstrength and serum 25OHD, and when each were adjusted to remove this association, 25OHD accounted for 4.3% of HGND and 4.5% of HGD. These results suggest that vitamin D status does have a small but significant association with hand-grip strength in this group of young women. Further investigation in this age group with a randomised controlled trial is justified. This article is part of a Special Issue entitled 'Vitamin D Workshop'. Copyright © 2012 Elsevier Ltd. All rights reserved.

  20. Population Muscle Strength Predicts Olympic Medal Tallies: Evidence from 20 Countries in the PURE Prospective Cohort Study.

    Directory of Open Access Journals (Sweden)

    Darryl P Leong

    Full Text Available National sporting achievement at the Olympic Games is important for national pride and prestige, and to promote participation in sport. Summer Olympic Games medal tallies have been associated with national wealth, and also social development and healthcare expenditure. It is uncertain however, how these socioeconomic factors translate into Olympic success. The objective of this study was therefore to examine the relationship between population muscle strength and Olympic medal tallies.This study of handgrip strength represents a cross-sectional analysis of the Prospective Urban Rural Epidemiology (PURE study, which is an ongoing population cohort study of individuals from high-, middle-, and low-income countries. Within participating countries, households from both urban and rural communities were invited to participate using a sampling strategy intended to yield a sample that was representative of the community. Households were eligible if at least one member was aged 35-70 years and if they intended living at the same address for a further four years. A total of 152,610 participants from these households, located in 21 countries, were included in this analysis. Handgrip strength was measured using a Jamar dynanometer. Olympic medal tallies were made over the five most recent Summer Games. There was a significant positive association between national population grip strength (GS and medal tally that persisted after adjustment for sex, age, height, average daily caloric intake and GDP (total and per capita. For every 1kg increase in population GS, the medal tally increased by 36% (95% CI 13-65%, p = 0.001 after adjustment. Among countries that won at least one medal over the four most recent Summer Olympic Games, there was a close linear relationship between adjusted GS and the natural logarithm of the per capita medal tally (adjusted r = 0.74, p = 0.002.Population muscle strength may be an important determinant of Summer Olympic Games medal

  1. Using Diffusion Tractography to Predict Cortical Connection Strength and Distance: A Quantitative Comparison with Tracers in the Monkey

    DEFF Research Database (Denmark)

    Donahue, Chad J.; Sotiropoulos, Stamatios N.; Jbabdi, Saad

    2016-01-01

    of tractography for analyzing interareal corticocortical connectivity in nonhuman primates and a framework for assessing future tractography methodological refinements objectively. SIGNIFICANCE STATEMENT Tractography based on diffusion MRI has great potential for a variety of applications, including estimation......Tractography based on diffusion MRI offers the promise of characterizing many aspects of long-distance connectivity in the brain, but requires quantitative validation to assess its strengths and limitations. Here, we evaluate tractography's ability to estimate the presence and strength...... of connections between areas of macaque neocortex by comparing its results with published data from retrograde tracer injections. Probabilistic tractography was performed on high-quality postmortem diffusion imaging scans from two Old World monkey brains. Tractography connection weights were estimated using...

  2. Does psychological strengths and subjective well-being predicting parental involvement and problem solving among Malaysian and Indian students?

    OpenAIRE

    Khan, Aqeel; Ahmad, Roslee; Hamdan, Abdul Rahim; Mustaffa, Mohamed Sharif; Tahir, Lokman Mohd

    2014-01-01

    The present study examined the predictors of psychological strengths and subjective well-being for dealing with academic stress perceived by university engineering students. Sample of 400 Malaysian (N?=?180 boys and N?=?220 girls) age varies 18 to 25?years and 400 Indian students (N?=?240 boys and N?=?160 girls) age varies 18 to 25?years from public universities were participated. Quantitative method was used for data analysis. Findings shows that gender, religiosity and socioeconomic status ...

  3. ECONOMETRIC ANALYSIS ON VOTE-POPULARITY FUNCTION FOR ROMANIA

    Directory of Open Access Journals (Sweden)

    NICOLAE-MARIUS JULA

    2011-04-01

    Full Text Available The regional analysis in Romania confirms the hypothesis of a significant correlation between the status of the economy and political behaviour of the electors. The level and the dynamic of the unemployment at regional level have an influence on vote behaviour, as stated by the partisan political business cycle theory: in the areas with a higher unemployment rate there is a voting preference (tendency towards the political left wing. This conclusion is interesting for a political perspective. If the unemployment electors carry their votes toward left, the left wing government in office between 1992-1996 and 2000-2004 promotes an economic policy that outcomes in a diminishing the electoral support for this party: during these periods, the global unemployment rate decreased from 8.2% to 6.6% in first period (1992-1996 and from 12.3% to 6.3% in the second. Moreover, the partisan electoral behaviour hypothesis affirms that the private entrepreneurs and the self-employed vote toward right-wing parties. That means that electoral support for left party in office during the mentioned periods was also reduced by another result of the reform, namely the strong increase in the number of registered companies (large numbers of them are limited liability companies. A political analogous situation was recorded during the 1996-2000 legislatures. The global unemployment rate increased and the business environment became unfavourable, leading to a decrease of the electoral support for the right-wing governmental coalition in office.In Romania, regarding the elections from 2008-2009, a new electoral law was introduced. The main changes concerned the election of chairpersons of county councils by uninominal voting, separating general and presidential elections and the introduction uninominal voting system for parliamentary elections, with a correction of the total number of seats with the total number of votes obtained by each party on national level.

  4. Investigation on Tensile Strength Ratio (TSR Specimen to Predict Moisture Sensitivity of Asphalt Pavements Mixture and Using Polymer to Reduce Moisture Damage

    Directory of Open Access Journals (Sweden)

    Mohammed Aziz Hameed Al-Shaybani

    2017-05-01

    Full Text Available Moisture damage of asphalt concrete is defined as losing the strength and Permanence caused by the active presence of moisture.The most common technique to reduce moisture damage is using modifiers with the asphalt binder or the aggregate.The goal of this study was to explore the effect of various modifiers of polymer on the moisture susceptibility mixture of asphaltic concrete pavement. Modifiers included in this research selected two kinds of polymers Crumb Rubber No 50 (CR No 50 and Methyl Methacrylates (MMA(which are available in the local markets in Iraq and have been used in three percentages for each type. These percentages are (5, 10 and 15% for (CR No 50 and (2.5, 5 and 7.5(% for (MMA.Each type of these polymers is blended with asphalt by wet process at constant blending times for a suitable range of temperatures. The experimental works showed that all polymers modified mixtures have indirect tensile strength higher than control asphalt mixtures, its about (2-15 %, dependent on different type of polymer and polymer concentration under predicted suitable blending time.Test results of indirect tensile strength indicated betterment in modifying the proprieties of mixture, the increased resistance mixture of asphalt concrete pavement versus moisture damage, and reduced the effect of water on asphalt concrete properties. The final result is the addition of (10% CR No 50 and (5% MMA to asphalt mixtures showed an improved mixture of asphalt concrete properties and produced strong mixtures for road construction.One model is predicted for tensile strength ratio [TSR]to estimate the effects of polymer modification on moisture susceptibility mixture of asphalt concrete.

  5. Tunable Tensor Voting Improves Grouping of Membrane-Bound Macromolecules

    Energy Technology Data Exchange (ETDEWEB)

    Loss, Leandro A.; Bebis, George; Parvin, Bahram

    2009-04-15

    Membrane-bound macromolecules are responsible for structural support and mediation of cell-cell adhesion in tissues. Quantitative analysis of these macromolecules provides morphological indices for damage or loss of tissue, for example as a result of exogenous stimuli. From an optical point of view, a membrane signal may have nonuniform intensity around the cell boundary, be punctate or diffused, and may even be perceptual at certain locations along the boundary. In this paper, a method for the detection and grouping of punctate, diffuse curvilinear signals is proposed. Our work builds upon the tensor voting and the iterative voting frameworks to propose an efficient method to detect and refine perceptually interesting curvilinear structures in images. The novelty of our method lies on the idea of iteratively tuning the tensor voting fields, which allows the concentration of the votes only over areas of interest. We validate the utility of our system with synthetic and annotated real data. The effectiveness of the tunable tensor voting is demonstrated on complex phenotypic signals that are representative of membrane-bound macromolecular structures.

  6. Inference of segmented color and texture description by tensor voting.

    Science.gov (United States)

    Jia, Jiaya; Tang, Chi-Keung

    2004-06-01

    A robust synthesis method is proposed to automatically infer missing color and texture information from a damaged 2D image by (N)D tensor voting (N > 3). The same approach is generalized to range and 3D data in the presence of occlusion, missing data and noise. Our method translates texture information into an adaptive (N)D tensor, followed by a voting process that infers noniteratively the optimal color values in the (N)D texture space. A two-step method is proposed. First, we perform segmentation based on insufficient geometry, color, and texture information in the input, and extrapolate partitioning boundaries by either 2D or 3D tensor voting to generate a complete segmentation for the input. Missing colors are synthesized using (N)D tensor voting in each segment. Different feature scales in the input are automatically adapted by our tensor scale analysis. Results on a variety of difficult inputs demonstrate the effectiveness of our tensor voting approach.

  7. Analysis of the Voting Method used in the European Central Bank

    Directory of Open Access Journals (Sweden)

    Honorata Sosnowska

    2013-01-01

    Full Text Available Game theoreticians usually deal with standard voting methods such as plurality voting or approval voting. In reality however, some complicated non-standard voting methods are used. In this paper the voting method and rotation scheme have been presented used by the Governing Council of the European Central Bank (ECB, as it enlarges to accommodate new members of the economic and monetary union. We present game theoretical approaches for analyzing this method and different methods of computing the Shapley value for games connected with voting under such rotation schemes. (original abstract

  8. Nonlinear quasi-static finite element simulations predict in vitro strength of human proximal femora assessed in a dynamic sideways fall setup.

    Science.gov (United States)

    Varga, Peter; Schwiedrzik, Jakob; Zysset, Philippe K; Fliri-Hofmann, Ladina; Widmer, Daniel; Gueorguiev, Boyko; Blauth, Michael; Windolf, Markus

    2016-04-01

    Osteoporotic proximal femur fractures are caused by low energy trauma, typically when falling on the hip from standing height. Finite element simulations, widely used to predict the fracture load of femora in fall, usually include neither mass-related inertial effects, nor the viscous part of bone׳s material behavior. The aim of this study was to elucidate if quasi-static non-linear homogenized finite element analyses can predict in vitro mechanical properties of proximal femora assessed in dynamic drop tower experiments. The case-specific numerical models of 13 femora predicted the strength (R(2)=0.84, SEE=540N, 16.2%), stiffness (R(2)=0.82, SEE=233N/mm, 18.0%) and fracture energy (R(2)=0.72, SEE=3.85J, 39.6%); and provided fair qualitative matches with the fracture patterns. The influence of material anisotropy was negligible for all predictions. These results suggest that quasi-static homogenized finite element analysis may be used to predict mechanical properties of proximal femora in the dynamic sideways fall situation. Copyright © 2015 Elsevier Ltd. All rights reserved.

  9. Capacity to Vote in Persons with Dementia and the Elderly

    Directory of Open Access Journals (Sweden)

    Luis Javier Irastorza

    2011-01-01

    Full Text Available The capacity to vote in patients with mental illness is increasingly questioned. The objective of this study is to evaluate this capacity in a group of subjects with dementia (Alzheimer's disease and other elderly subjects without dementia. With a sample of 68 subjects with dementia and 25 controls living in a senior residence, a transversal study was carried out over 4 months. Subjects were evaluated with the Mini-Mental State Examination (MMSE and the Competence Assessment Tool for voting (CAT-V. The results were more positive for the Doe criteria (as part of the CAT-V, and a correlation was found with the MMSE in subjects with dementia and, to a lesser degree, in the controls. We conclude that the capacity to vote is related to cognitive deterioration and, within that, is more related to understanding and appreciation.

  10. Forecasting the Senate vote on the Supreme Court vacancy

    Directory of Open Access Journals (Sweden)

    Scott J. Basinger

    2016-07-01

    Full Text Available This paper forecasts current senators’ votes on Merrick Garland’s nomination to the U.S. Supreme Court, in the unlikely case that a vote actually takes place. The forecasts are necessarily conditional, awaiting measurement of the nominee’s characteristics. Nonetheless, a model that combines parameters estimated from existing data with values of some measurable characteristics of senators—particularly their party affiliations, party loyalty levels, and ideological positions—is sufficient to identify potential swing voters in the Senate. By accounting for a more nuanced and refined understanding of the confirmation process, our model reveals that if President Obama were to nominate almost any nominee (conservative or liberal today, that nominee would be rejected if a vote was allowed to take place. So why nominate anyone at all? Obama’s hope for a successful confirmation must come from the stochastic component, that is, from outside the traditional decision-making calculus.

  11. Ideology, Party Systems and Corruption Voting in European Democracies

    DEFF Research Database (Denmark)

    Charron, Nicholas; Bågenholm, Andreas

    2016-01-01

    What is the impact of corruption on citizens' voting behavior? There is a growing literature on an increasingly ubiquitous puzzle in many democratic countries: that corrupt officials continue to be re-elected by voters. In this study we address this issue with a novel theory and newly collected...... original survey data for 24 European countries. The crux of the argument is that voters' ideology is a salient factor in explaining why citizens would continue voting for their preferred party despite the fact that it has been involved in a corruption scandal. Developing a theory of supply (number...... of effective parties) and demand (voters must have acceptable ideological alternatives to their preferred party), we posit that there is a U-shaped relationship between the likelihood of corruption voting and where voters place themselves on the left/right spectrum. The further to the fringes, the more likely...

  12. The Predictive Strength of Perceived Parenting and Parental Attachment Styles on Psychological Symptoms among Turkish University Students

    Science.gov (United States)

    Körük, Serdar; Öztürk, Abdülkadir; Kara, Ahmet

    2016-01-01

    This study aims to investigate the relationships between perceived parenting, parental attachment styles and psychological symptoms among Turkish university students and it also aims to find out which perceived parenting and parental attachment styles predict psychological symptoms which were measured. This study is a quantitative research and…

  13. Public goods and voting on formal sanction schemes

    DEFF Research Database (Denmark)

    Putterman, Louis; Tyran, Jean-Robert Karl; Kamei, Kenju

    2011-01-01

    The burgeoning literature on the use of sanctions to support the provision of public goods has largely neglected the use of formal or centralized sanctions. We let subjects playing a linear public goods game vote on the parameters of a formal sanction scheme capable of either resolving...... or exacerbating the free-rider problem, depending on parameter settings. Most groups quickly learned to choose parameters inducing efficient outcomes. We find that cooperative orientation, political attitude, gender and intelligence have a small but sometimes significant influence on voting....

  14. Public Goods and Voting on Formal Sanction Schemes

    DEFF Research Database (Denmark)

    Putterman, Louis; Tyran, Jean-Robert; Kamei, Kenju

    The burgeoning literature on the use of sanctions to support public goods provision has largely neglected the use of formal or centralized sanctions. We let subjects playing a linear public goods game vote on the parameters of a formal sanction scheme capable both of resolving and of exacerbating...... the free-rider problem, depending on parameter settings. Most groups quickly learned to choose parameters inducing efficient outcomes. But despite uniform money payoffs implying common interest in those parameters, voting patterns suggest significant influence of cooperative orientation, political...

  15. Strength of figure-ground activity in monkey primary visual cortex predicts saccadic reaction time in a delayed detection task.

    Science.gov (United States)

    Supèr, Hans; Lamme, Victor A F

    2007-06-01

    When and where are decisions made? In the visual system a saccade, which is a fast shift of gaze toward a target in the visual scene, is the behavioral outcome of a decision. Current neurophysiological data and reaction time models show that saccadic reaction times are determined by a build-up of activity in motor-related structures, such as the frontal eye fields. These structures depend on the sensory evidence of the stimulus. Here we use a delayed figure-ground detection task to show that late modulated activity in the visual cortex (V1) predicts saccadic reaction time. This predictive activity is part of the process of figure-ground segregation and is specific for the saccade target location. These observations indicate that sensory signals are directly involved in the decision of when and where to look.

  16. Prediction of post-sunset ESF based on the strength and asymmetry of EIA from ground based TEC measurements

    Science.gov (United States)

    Thampi, S. V.; Ravindran, S.; Devasia, C. V.; Pant, T. K.; Sreelatha, P.; Sridharan, R.

    The Coherent Radio Beacon Experiment (CRABEX) is aimed at investigating the equatorial ionospheric processes like the Equatorial Ionization Anomaly (EIA) and Equatorial Spread F (ESF) and their inter relationships. As a part of CRABEX program, a network of six stations covering the region from Trivandrum (8.5°N) to Nainital (29.3°N) is set up along the 77-78° E meridian. These ground receivers basically measure the slant Total Electron Content (TEC) along the line of sight from the Low Earth Orbiting satellites (NIMS). These simultaneous TEC measurements are inverted to obtain the tomographic image of the latitudinal distribution of electron densities in the meridional plane. In this paper, the tomographic images of the equatorial ionosphere along the 77-78°E meridian are presented. The crest intensities in the southern and northern hemispheres also show significant differences with seasons, showing the variability in the EIA asymmetry. The evening images give an indication of the prevailing electrodynamical conditions on different days, preceding the occurrence/non-occurrence of ESF. Apart from this, the single station TEC measurements from the Trivandrum station itself is used to estimate the EIA strength and asymmetry. Since this station is situated at the trough of the EIA, right over the dip equator, the latitudinal gradients on both northern (N) and southern (S) sides can be used to compute the EIA strength and asymmetry. These two parameters, obtained well ahead of the onset time of ESF, are shown to have a definite role on the subsequent ESF activity. Hence, both these factors are combined to define a new `forecast parameter' for the generation of ESF. It has been shown that this parameter can uniquely define the state of the `background ionosphere' conducive for the generation of ESF irregularities as early as 1600 IST. A critical value for the `forecast parameter' has been identified such that when the estimated value for `forecast parameter' exceeds

  17. High temperature strength data-base of SUS304 steel and a study on life prediction method under ceep-fatigue interaction

    International Nuclear Information System (INIS)

    Matsubara, Masaaki; Nitta, Akito; Ogata, Takashi; Kuwabara, Kazuo

    1985-01-01

    As a part of ''Study for practical use of Tank Type FBR'', ''Practical use of inelastic analysis method to FBR structural design'' is carried out as a cooperative study for three years from 1984. In this cooperative study, to establish the life prediction method under creep-fatigue interaction is one of the most important theme. To attain this purpose, many different type tests are planned and then conducted. By the way, to use these many data rapidly and effectively, it is necessary to make a data base. So in this work, we developed the simple data base of high temperature strength. And the data of SUS304 obtained at this place to this day are inputted into this data base. Next, we investigated about five life prediction methods under creep-fatigue interaction, Frequency Modified Method, Ostergren Method, Strain Range Partitioning Method, Damage Rate Approach and Strain Energy Parameter Method. As a result, Strain Range Partitioning Method can predict the lives within Factor of 2. In the other four methods, it is supported that material constants in the prediction formula are dependent on temperature. (author)

  18. Vote Buying or Campaign Promises? Electoral Strategies When Party Credibility is Limited

    OpenAIRE

    Hanusch, Marek; Keefer, Philip; Vlaicu, Razvan

    2016-01-01

    What explains significant variation across countries in the use of vote buying instead of campaign promises to secure voter support? This paper explicitly models the tradeoff parties face between engaging in vote buying and making campaign promises, and explores the distributional consequences of this decision, in a setting where party credibility can vary. When parties are less credible they spend more on vote buying and target vote buying more heavily toward groups that do not believe campa...

  19. Real-Time Straight-Line Detection for XGA-Size Videos by Hough Transform with Parallelized Voting Procedures.

    Science.gov (United States)

    Guan, Jungang; An, Fengwei; Zhang, Xiangyu; Chen, Lei; Mattausch, Hans Jürgen

    2017-01-30

    The Hough Transform (HT) is a method for extracting straight lines from an edge image. The main limitations of the HT for usage in actual applications are computation time and storage requirements. This paper reports a hardware architecture for HT implementation on a Field Programmable Gate Array (FPGA) with parallelized voting procedure. The 2-dimensional accumulator array, namely the Hough space in parametric form (ρ, θ), for computing the strength of each line by a voting mechanism is mapped on a 1-dimensional array with regular increments of θ. Then, this Hough space is divided into a number of parallel parts. The computation of (ρ, θ) for the edge pixels and the voting procedure for straight-line determination are therefore executable in parallel. In addition, a synchronized initialization for the Hough space further increases the speed of straight-line detection, so that XGA video processing becomes possible. The designed prototype system has been synthesized on a DE4 platform with a Stratix-IV FPGA device. In the application of road-lane detection, the average processing speed of this HT implementation is 5.4ms per XGA-frame at 200 MHz working frequency.

  20. Elections: DOD Needs More Comprehensive Planning to Address Military and Overseas Absentee Voting Challenges

    Science.gov (United States)

    2016-04-01

    Acknowledgments Contact Acknowledgments Related GAO Products Page 75 GAO-16-378 DOD Overseas Absentee Voting U.S. Postal Service: Actions... Products Page 76 GAO-16-378 DOD Overseas Absentee Voting Election Reform: Nine States’ Experiences Implementing Federal Requirements for...ELECTIONS DOD Needs More Comprehensive Planning to Address Military and Overseas Absentee Voting Challenges

  1. Sistem Pemungutan Suara Elektronik Menggunakan Model Poll Site E-Voting

    Directory of Open Access Journals (Sweden)

    Haryati Haryati

    2016-01-01

    Full Text Available General elections is a regular agenda for a democtaric state, the applied paper based voting has several drawbacks, including spoiled ballots, inaccuracy in the counting of votes and reporting of election results which tends to be slow. Therefore , it needs to develop an electronic voting system that is user friendly for Indonesian people, which will reduce confusion from the previous system changes. Electronic voting aims at increasing participation, accuracy and efficiency of election results. Electrinoc voting has its own challenges to the implementation in Indonesia, ranging from the lack of legal protection, the heterogeneous level of education, culture, soceity and the digital gaps. The model developed in this thesis is the poll site e-voting, based on the rules of General Elections Commision (KPU as the organizer of the elections. In this model, people still go to the pools, using the ID number od ID card as a verification tool and voting at the voting booths provided. The system automatically stores the results in a database option, and after the spesified time will show both the results of the voting and other and other information required by the Commission. Voting system with a model of e-voting poll site is expected to have a good chance an a low level of risk to be applied in Indonesia.   Keywords : E-voting; Poll site; Rule based; Risk.

  2. Voting in central banks: theory versus stylized facts

    Czech Academy of Sciences Publication Activity Database

    Horváth, R.; Šmídková, K.; Zápal, Jan

    2016-01-01

    Roč. 16, č. 4 (2016), s. 1-62 ISSN 1935-1682 R&D Projects: GA ČR(CZ) GBP402/12/G097 Institutional support: PRVOUK-P23 Keywords : monetary policy * voting record * collective decision-making Subject RIV: AH - Economics Impact factor: 0.252, year: 2016

  3. Teaching Case: Analysis of an Electronic Voting System

    Science.gov (United States)

    Thompson, Nik; Toohey, Danny

    2014-01-01

    This teaching case discusses the analysis of an electronic voting system. The development of the case was motivated by research into information security and management, but as it includes procedural aspects, organizational structure and personnel, it is a suitable basis for all aspects of systems analysis, planning and design tasks. The material…

  4. Voting rights for older children and civic education

    NARCIS (Netherlands)

    Merry, Michael; Schinkel, Anders

    2016-01-01

    The issue of voting rights for older children has been high on the political and philosophical agenda for quite some time now, and not without reason. Aside from principled moral and philosophical reasons why it is an important matter, many economic, environmental, and political issues are currently

  5. The role of remote voting in encouraging return

    Directory of Open Access Journals (Sweden)

    Djordje Stefanovic

    2015-09-01

    Full Text Available Once there is a genuine possibility of going home, what influences a forced migrant’s decision to return to a pre-conflict residence, often in the face of very difficult conditions? What role can remote voting play?

  6. 7 CFR 1230.631 - Challenge of votes.

    Science.gov (United States)

    2010-01-01

    ... the voting period, the ballots of producers may be challenged at the FSA county office. (b) Who can... in-person ballot or an absentee ballot whose name is posted on the In-Person Voter Registration List... notify all challenged persons that documentation such as sales documents, tax records, or other similar...

  7. The 'Snap Vote' of 462/1 BCE

    DEFF Research Database (Denmark)

    Thomsen, Christian Ammitzbøll

    2014-01-01

    still holds that the absence of 4,000 politically conservative hoplites under the leadership of Kimon paved the way for radical democratic reform - championed by Ephialtes and voted through the Athenian assembly in a ‘snap vote’ by the mass of democratic rowers who remained in the city. This note re...

  8. The Context of Voting: Does Neighborhood Ethnic Diversity Affect Turnout?

    DEFF Research Database (Denmark)

    Bhatti, Yosef; Danckert, Bolette; Hansen, Kasper Møller

    2017-01-01

    (mobilization theory), diminishes social cohesion that in turn makes voters likely to withdraw from voting (marginalization theory), or does not impact turnout at all. This study is one of the first to investigate the question using individual-level longitudinal data, which adds substantially to the causal...

  9. An efficient method for tensor voting using steerable filters

    NARCIS (Netherlands)

    Franken, E.M.; Almsick, van M.A.; Rongen, P.M.J.; Florack, L.M.J.; Haar Romenij, ter B.M.; Leonardis, A.; Bischof, H; Pinz, A.

    2006-01-01

    In many image analysis applications there is a need to extract curves in noisy images. To achieve a more robust extraction, one can exploit correlations of oriented features over a spatial context in the image. Tensor voting is an existing technique to extract features in this way. In this paper, we

  10. The 26th Amendment and Youth Voting Rights.

    Science.gov (United States)

    Schamel, Wynell

    1996-01-01

    Describes learning activities to be used in conjunction with a facsimile of the 92nd Congress's joint resolution passing the 26th Amendment extending the voting franchise to 18-year-olds. These activities include document analysis, time lines, class discussions, and storytelling. Briefly reviews the amendment process. (MJP)

  11. "All in Favour, Say Aye!" Voting in Pupils' Collaborative Talk

    Science.gov (United States)

    Newman, Ruth

    2015-01-01

    This paper draws on the findings of an Economic and Social Research Council and British Telecom-funded project which explored the teaching of collaborative talk in the secondary English classroom. During the analysis of the video data collected, voting was observed as a strategy in pupils' collaborative decision-making. Converse to its democratic…

  12. 7 CFR 900.302 - Associations eligible to vote.

    Science.gov (United States)

    2010-01-01

    ... Conduct of Referenda To Determine Producer Approval of Milk Marketing Orders To Be Made Effective Pursuant to Agricultural Marketing Agreement Act of 1937, as Amended § 900.302 Associations eligible to vote... Agriculture Regulations of the Department of Agriculture (Continued) AGRICULTURAL MARKETING SERVICE (Marketing...

  13. 7 CFR 900.304 - Who may vote.

    Science.gov (United States)

    2010-01-01

    ... Conduct of Referenda To Determine Producer Approval of Milk Marketing Orders To Be Made Effective Pursuant to Agricultural Marketing Agreement Act of 1937, as Amended § 900.304 Who may vote. (a) Each producer... Regulations of the Department of Agriculture (Continued) AGRICULTURAL MARKETING SERVICE (Marketing Agreements...

  14. 7 CFR 900.307 - Time for voting.

    Science.gov (United States)

    2010-01-01

    ... Conduct of Referenda To Determine Producer Approval of Milk Marketing Orders To Be Made Effective Pursuant to Agricultural Marketing Agreement Act of 1937, as Amended § 900.307 Time for voting. There shall be... Regulations of the Department of Agriculture (Continued) AGRICULTURAL MARKETING SERVICE (Marketing Agreements...

  15. Presidential Debate Watching, Issue Knowledge, Character Evaluation, and Vote Choice

    Science.gov (United States)

    Benoit, William L.; Hansen, Glenn J.

    2004-01-01

    This study employs NES (National Election Survey) data from several presidential elections to investigate the effects of presidential debate watching on voters' issue knowledge, character evaluation, and vote choice. Debates can instill issue knowledge; however, voters are less likely to learn about incumbent presidents seeking re-election after a…

  16. Voting patterns and alliance formation in the European Parliament.

    Science.gov (United States)

    Hix, Simon; Noury, Abdul; Roland, Gérard

    2009-03-27

    Members of the European Parliament (MEPs) have voluntarily formed transnational political groups and invariably follow the voting instructions of these groups. This is intriguing as there are few obvious incentives for doing so. Unlike national parties, for example, the political groups in the European Parliament are not punished by the electorate if they are divided on key issues, as citizens know very little about what goes on inside the European Parliament. This paper pieces together an explanation of why the European political groups exist and why they have become so powerful by looking at the determinants of group cohesion and by undertaking a spatial analysis of voting in the European Parliament. MEPs who share preferences on a range of issues on the European Union policy agenda have an incentive to establish a division-of-labour contract and to share the costs of collecting information. Once internal party policy specialization and agenda setting has been established, MEPs have incentives to follow the voting instructions of their group owing to the advantages of cohesion in a context of repeated voting.

  17. Early Election Returns and the Voting Behavior of Adolescent Voters

    Science.gov (United States)

    Mann, Leon; And Others

    1971-01-01

    High school students participated in a field experiment that tested the effects of exposure to early election returns in a nonpartisan referendum. Students in the brighter classes changed their vote less frequently, but when they changed their preferences they showed a greater bandwagon effect. Students in the classes of lower academic achievement…

  18. The fluctuating female vote: politics, religion, and the ovulatory cycle.

    Science.gov (United States)

    Durante, Kristina M; Rae, Ashley; Griskevicius, Vladas

    2013-06-01

    Each month, many women experience an ovulatory cycle that regulates fertility. Although research has found that this cycle influences women's mating preferences, we proposed that it might also change women's political and religious views. Building on theory suggesting that political and religious orientation are linked to reproductive goals, we tested how fertility influenced women's politics, religiosity, and voting in the 2012 U.S. presidential election. In two studies with large and diverse samples, ovulation had drastically different effects on single women and women in committed relationships. Ovulation led single women to become more liberal, less religious, and more likely to vote for Barack Obama. In contrast, ovulation led women in committed relationships to become more conservative, more religious, and more likely to vote for Mitt Romney. In addition, ovulation-induced changes in political orientation mediated women's voting behavior. Overall, the ovulatory cycle not only influences women's politics but also appears to do so differently for single women than for women in relationships.

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

    Science.gov (United States)

    Menard, Lauren Ann; Slater, Robert O.

    2012-01-01

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

  20. The Theory and Implementation of Electronic Voting Systems

    DEFF Research Database (Denmark)

    Damgård, Ivan Bjerre; Groth, Jens; Salomonsen, Gorm

    2002-01-01

    scheme shorter and easier to compute and verify, for voters as well as authorities, than in currently known schemes. Finally, we discuss various issues connected with the security of a practical implementation of the scheme for on-line voting. Notably, this includes minimizing risks that are beyond what...

  1. Mechanisms for efficient voting with private information about preferences

    Czech Academy of Sciences Publication Activity Database

    Engelmann, Dirk; Grimm, V.

    2012-01-01

    Roč. 122, č. 563 (2012), s. 1010-1041 ISSN 0013-0133 Institutional research plan: CEZ:AV0Z70850503 Keywords : simple voting game * linking decisions * successful cooperation Subject RIV: AH - Economics Impact factor: 2.118, year: 2012

  2. Implementation of Self-Bias Transistor on Voting Logic

    International Nuclear Information System (INIS)

    Harzawardi Hasim; Syirrazie Che Soh

    2014-01-01

    Study in the eld of digital integrated circuit (IC) already become common to the modern industrial. Day by day we have been introduced with new gadget that was developed based on transistor. This paper will study the implementation of self-bias transistor on voting logic. The self-bias transistor will connected both on pull-up network and pull-down network. On previous research, study on comparison of total number of transistors, time propagation delay, and frequency between NAND and NOR gate of voting logic. It's show, with the same number of transistor, NAND gate achieve high frequency and low time propagation delay compare to NOR gate. We extend this analysis by comparing the total number of transistor, time propagation delay, frequency and power dissipation between common NAND gate with self-bias NAND gate. Extensive LTSpice simulations were performed using IBM 90 nm CMOS(Complementary Metal Oxide Semiconductor) process technology. The result show self-bias voting NAND gate consumes 54 % less power dissipation, 43% slow frequency and 43 % high time propagation delay compare to common voting NAND gate. (author)

  3. Weighted voting-based consensus clustering for chemical structure databases

    Science.gov (United States)

    Saeed, Faisal; Ahmed, Ali; Shamsir, Mohd Shahir; Salim, Naomie

    2014-06-01

    The cluster-based compound selection is used in the lead identification process of drug discovery and design. Many clustering methods have been used for chemical databases, but there is no clustering method that can obtain the best results under all circumstances. However, little attention has been focused on the use of combination methods for chemical structure clustering, which is known as consensus clustering. Recently, consensus clustering has been used in many areas including bioinformatics, machine learning and information theory. This process can improve the robustness, stability, consistency and novelty of clustering. For chemical databases, different consensus clustering methods have been used including the co-association matrix-based, graph-based, hypergraph-based and voting-based methods. In this paper, a weighted cumulative voting-based aggregation algorithm (W-CVAA) was developed. The MDL Drug Data Report (MDDR) benchmark chemical dataset was used in the experiments and represented by the AlogP and ECPF_4 descriptors. The results from the clustering methods were evaluated by the ability of the clustering to separate biologically active molecules in each cluster from inactive ones using different criteria, and the effectiveness of the consensus clustering was compared to that of Ward's method, which is the current standard clustering method in chemoinformatics. This study indicated that weighted voting-based consensus clustering can overcome the limitations of the existing voting-based methods and improve the effectiveness of combining multiple clusterings of chemical structures.

  4. Education's impact on explanations of radical right-wing voting

    NARCIS (Netherlands)

    Lubbers, M.; Tolsma, J.

    2011-01-01

    One of the reactions to the large demographic changes in Europe due to migration has been the rise of radical right-wing parties. Previous research has shown that education is one of the most relevant explanations of this voting behaviour. By pooling the European Social Surveys from 2002, 2004, 2006

  5. 7 CFR 1280.626 - Certification and voting procedures.

    Science.gov (United States)

    2010-01-01

    ... 1280.626 Agriculture Regulations of the Department of Agriculture (Continued) AGRICULTURAL MARKETING SERVICE (MARKETING AGREEMENTS AND ORDERS; MISCELLANEOUS COMMODITIES), DEPARTMENT OF AGRICULTURE LAMB... Internet during the voting period. A completed and signed form LS-86 and supporting documentation, such as...

  6. Mathematical Modelling of a Friction Stir Welding Process to Predict the Joint Strength of Two Dissimilar Aluminium Alloys Using Experimental Data and Genetic Programming

    Directory of Open Access Journals (Sweden)

    Mohammed Yunus

    2018-01-01

    Full Text Available Friction stir welding (FSW is the most popular and efficient method of solid-state joining for similar as well as dissimilar metals and alloys. It is mostly used in applications for aerospace, rail, automotive, and marine industries. Many researchers are currently working with different perspectives on this FSW process for various combinations of materials. The general input process parameters are the thickness of the plate, axial load, rotational speed, welding speed, and tilt angle. The output parameters are joint hardness, % of elongation, and impact and yield strengths. Genetic programming (GP is a relatively new method of evolutionary computing with the principal advantage of this approach being to evaluate efficacious predictive mathematical models or equations without any prior assumption regarding the possible form of the functional relationship. This paper both defines and illustrates how GP can be applied to the FSW process to derive precise relationships between the output and input parameters in order to obtain a generalized prediction model. A GP model will assist engineers in quantifying the performance of FSW, and the results from this study can then be utilized to estimate future requirements based on the historical data to provide a robust solution. The obtained results from the GP models showed good agreement with experimental and target data at an average prediction error of 0.72%.

  7. Gender, populist attitudes, and voting: Explaining the gender gap in voting for populist radical right and populist radical left parties

    NARCIS (Netherlands)

    Spierings, N.; Zaslove, A.S.

    2017-01-01

    Empirical studies have demonstrated that compared to almost all other parties, populist radical right (PRR) parties draw more votes from men than from women. However, the two dominant explanations that are generally advanced to explain this disparity - gender differences regarding socio-economic

  8. Why Czech Parliamentary party Groups Vote less Unitedly. The Role of Frequent Voting and Big Majorities in Passing Bills

    Czech Academy of Sciences Publication Activity Database

    Linek, Lukáš; Rakušanová, Petra

    2005-01-01

    Roč. 41, č. 3 (2005), s. 423-442 ISSN 0038-0288 Institutional research plan: CEZ:AV0Z70280505 Keywords : parliamentary party groups * Czech political parties * voting Subject RIV: AO - Sociology, Demography Impact factor: 0.113, year: 2005

  9. Improving the prediction of the final part geometry in high strength steels U drawing by means of advanced material and friction models

    Science.gov (United States)

    de Argandoña, Eneko Saenz; Mendiguren, Joseba; Otero, Irune; Mugarra, Endika; Otegi, Nagore; Galdos, Lander

    2018-05-01

    Steel has been used in vehicles from the automotive industry's inception. Different steel grades are continually being developed in order to satisfy new fuel economy requirements. For example, advanced high strength steel grades (AHSS) are widely used due to their good strength/weight ratio. Because each steel grade has a different microstructure composition and hardness, they show different behaviors when they are subjected to different strain paths. Similarly, the friction behavior when using different contact pressures is considerably altered. In the present paper, four different steel grades, ZSt380, DP600, DP780 and Fortiform 1050 materials are deeply characterized using uniaxial and cyclic tension-compression tests. Coefficient of friction (COF) is also obtained using strip drawing tests. These results have been used to calibrate mixed kinematic-hardening material models as well as pressure dependent friction models. Finally, the geometrical accuracy of the different material and friction models has been evaluated by comparing the numerical predictions with experimental demonstrators obtained using a U-Drawing tester.

  10. A two-parameter model to predict fatigue life of high-strength steels in a very high cycle fatigue regime

    Science.gov (United States)

    Sun, Chengqi; Liu, Xiaolong; Hong, Youshi

    2015-06-01

    In this paper, ultrasonic (20 kHz) fatigue tests were performed on specimens of a high-strength steel in very high cycle fatigue (VHCF) regime. Experimental results showed that for most tested specimens failed in a VHCF regime, a fatigue crack originated from the interior of specimen with a fish-eye pattern, which contained a fine granular area (FGA) centered by an inclusion as the crack origin. Then, a two-parameter model is proposed to predict the fatigue life of high-strength steels with fish-eye mode failure in a VHCF regime, which takes into account the inclusion size and the FGA size. The model was verified by the data of present experiments and those in the literature. Furthermore, an analytic formula was obtained for estimating the equivalent crack growth rate within the FGA. The results also indicated that the stress intensity factor range at the front of the FGA varies within a small range, which is irrespective of stress amplitude and fatigue life.

  11. Preserving anonymity in e-voting system using voter non-repudiation oriented scheme

    Science.gov (United States)

    Hamid, Isredza Rahmi A.; Radzi, Siti Nafishah Md; Rahman, Nurul Hidayah Ab; Wen, Chuah Chai; Abdullah, Nurul Azma

    2017-10-01

    The voting system has been developed from traditional paper ballot to electronic voting (e-voting). The e-voting system has high potential to be widely used in election event. However, the e-voting system still does not meet the most important security properties which are voter's authenticity and non-repudiation. This is because voters can simply vote again by entering other people's identification number. In this project, an electronic voting using voter non-repudiation oriented scheme will be developed. This system contains ten modules which are log in, vote session, voter, candidate, open session, voting results, user account, initial score, logs and reset vote count. In order to ensure there would be no non-repudiation issue, a voter non-repudiation oriented scheme concept will be adapted and implemented in the system. This system will be built using Microsoft Visual Studio 2013 which only can be accessed using personal computers at the voting center. This project will be beneficial for future use in order to overcome non-repudiation issue.

  12. The acute effects of strength training on inflammatory markers predicting atherosclerosis: a study on inactive middle-aged men

    Directory of Open Access Journals (Sweden)

    Bizheh N

    2011-06-01

    Full Text Available "n Normal 0 false false false EN-US X-NONE AR-SA MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:Arial; mso-bidi-theme-font:minor-bidi;} Background: Cardiovascular diseases, especially atherosclerosis, are the main causes of morbidity and mortality worldwide. The disease has had an increasing prevalence in Iran in recent years. Homocysteine and C-reactive protein (CRP are two novel cardiovascular risk factors that independently predict risks of atherosclerosis. The purpose of this study was to investigate the effects of one session of circuit resistance training on the blood levels of the aforesaid inflammatory markers in inactive middle-aged men."n"nMethods: The participants of this study included twenty-three healthy but inactive middle-aged men who were overweight and were randomly divided into two experimental (n=14 and control (n=9 groups. The activity included doing exercises with the subjects' 35% one-repetition maximum (1-RM intensity at ten different stations. Blood levels of homocysteine and hs-CRP were measured before and after the exercise."n"nResults: Analysis of data using independent samples t-test showed a significant increment in the serum levels of homocysteine and hs-CRP after training in the experimental (P<0.05 versus the control group."n"nConclusion: Elevation of homocysteine levels is due to the increase in protein metabolism

  13. Electronic Voting Protocol Using Identity-Based Cryptography

    Directory of Open Access Journals (Sweden)

    Gina Gallegos-Garcia

    2015-01-01

    Full Text Available Electronic voting protocols proposed to date meet their properties based on Public Key Cryptography (PKC, which offers high flexibility through key agreement protocols and authentication mechanisms. However, when PKC is used, it is necessary to implement Certification Authority (CA to provide certificates which bind public keys to entities and enable verification of such public key bindings. Consequently, the components of the protocol increase notably. An alternative is to use Identity-Based Encryption (IBE. With this kind of cryptography, it is possible to have all the benefits offered by PKC, without neither the need of certificates nor all the core components of a Public Key Infrastructure (PKI. Considering the aforementioned, in this paper we propose an electronic voting protocol, which meets the privacy and robustness properties by using bilinear maps.

  14. Optimistic Selection Rule Better Than Majority Voting System

    Science.gov (United States)

    Sugiyama, Takuya; Obata, Takuya; Hoki, Kunihito; Ito, Takeshi

    A recently proposed ensemble approach to game-tree search has attracted a great deal of attention. The ensemble system consists of M computer players, where each player uses a different series of pseudo-random numbers. A combination of multiple players under the majority voting system would improve the performance of a Shogi-playing computer. We present a new strategy of move selection based on the search values of a number of players. The move decision is made by selecting one player from all M players. Each move is selected by referring to the evaluation value of the tree search of each player. The performance and mechanism of the strategy are examined. We show that the optimistic selection rule, which selects the player that yields the highest evaluation value, outperforms the majority voting system. By grouping 16 or more computer players straightforwardly, the winning rates of the strongest Shogi programs increase from 50 to 60% or even higher.

  15. An adaptive tensor voting algorithm combined with texture spectrum

    Science.gov (United States)

    Wang, Gang; Su, Qing-tang; Lü, Gao-huan; Zhang, Xiao-feng; Liu, Yu-huan; He, An-zhi

    2015-01-01

    An adaptive tensor voting algorithm combined with texture spectrum is proposed. The image texture spectrum is used to get the adaptive scale parameter of voting field. Then the texture information modifies both the attenuation coefficient and the attenuation field so that we can use this algorithm to create more significant and correct structures in the original image according to the human visual perception. At the same time, the proposed method can improve the edge extraction quality, which includes decreasing the flocculent region efficiently and making image clear. In the experiment for extracting pavement cracks, the original pavement image is processed by the proposed method which is combined with the significant curve feature threshold procedure, and the resulted image displays the faint crack signals submerged in the complicated background efficiently and clearly.

  16. Voting-based Classification for E-mail Spam Detection

    Directory of Open Access Journals (Sweden)

    Bashar Awad Al-Shboul

    2016-06-01

    Full Text Available The problem of spam e-mail has gained a tremendous amount of attention. Although entities tend to use e-mail spam filter applications to filter out received spam e-mails, marketing companies still tend to send unsolicited e-mails in bulk and users still receive a reasonable amount of spam e-mail despite those filtering applications. This work proposes a new method for classifying e-mails into spam and non-spam. First, several e-mail content features are extracted and then those features are used for classifying each e-mail individually. The classification results of three different classifiers (i.e. Decision Trees, Random Forests and k-Nearest Neighbor are combined in various voting schemes (i.e. majority vote, average probability, product of probabilities, minimum probability and maximum probability for making the final decision. To validate our method, two different spam e-mail collections were used.

  17. E-Voting Solutions for Digital Democracy in Knowledge Society

    Directory of Open Access Journals (Sweden)

    Marian STOICA

    2016-01-01

    Full Text Available Emergent technologies specific to current information and knowledge society, and social networks influence every aspect of our existence, from lucrative activities to recreational ones. There is no part of our life that is not influenced by the explosive development of general information and communication technologies. We witness a spectacular and until recently unimagined metamorphoses of work nature, business process reengineering, controversial evolution of social networks and new directions of electronic government. Over this background of changes, we take on the tasks of deepening the understanding of field that is largely unexplored, namely the electronic vote in digital democracy, without taking any side, pro or against this type of casting our electoral options. The current context encompasses technological, legislative, political, economic and social aspects. Even more, the context of electronic voting in digital democracy involves aspects regarding globalization, technical challenges concerning interoperability, data standardization and security.

  18. Method for secure electronic voting system: face recognition based approach

    Science.gov (United States)

    Alim, M. Affan; Baig, Misbah M.; Mehboob, Shahzain; Naseem, Imran

    2017-06-01

    In this paper, we propose a framework for low cost secure electronic voting system based on face recognition. Essentially Local Binary Pattern (LBP) is used for face feature characterization in texture format followed by chi-square distribution is used for image classification. Two parallel systems are developed based on smart phone and web applications for face learning and verification modules. The proposed system has two tire security levels by using person ID followed by face verification. Essentially class specific threshold is associated for controlling the security level of face verification. Our system is evaluated three standard databases and one real home based database and achieve the satisfactory recognition accuracies. Consequently our propose system provides secure, hassle free voting system and less intrusive compare with other biometrics.

  19. Electronic Voting Protocol Using Identity-Based Cryptography.

    Science.gov (United States)

    Gallegos-Garcia, Gina; Tapia-Recillas, Horacio

    2015-01-01

    Electronic voting protocols proposed to date meet their properties based on Public Key Cryptography (PKC), which offers high flexibility through key agreement protocols and authentication mechanisms. However, when PKC is used, it is necessary to implement Certification Authority (CA) to provide certificates which bind public keys to entities and enable verification of such public key bindings. Consequently, the components of the protocol increase notably. An alternative is to use Identity-Based Encryption (IBE). With this kind of cryptography, it is possible to have all the benefits offered by PKC, without neither the need of certificates nor all the core components of a Public Key Infrastructure (PKI). Considering the aforementioned, in this paper we propose an electronic voting protocol, which meets the privacy and robustness properties by using bilinear maps.

  20. The Effectiveness of Campaign Messages on Turnout and Vote Choice

    OpenAIRE

    Friedel, Sylvia

    2013-01-01

    In this dissertation, I study campaign effects on turnout and vote choice. I analyze different campaign messages and the way they affect voters across various situations. First, through an online survey experiment, I study the impact of campaign messages and ideological cues on voters as they make inferences on candidates. Next, through a field experiment, I test whether microtargeted messages or general messages on the economy have any effect on turnout. Lastly, using online survey data, I e...

  1. Mesh Denoising based on Normal Voting Tensor and Binary Optimization

    OpenAIRE

    Yadav, S. K.; Reitebuch, U.; Polthier, K.

    2016-01-01

    This paper presents a tensor multiplication based smoothing algorithm that follows a two step denoising method. Unlike other traditional averaging approaches, our approach uses an element based normal voting tensor to compute smooth surfaces. By introducing a binary optimization on the proposed tensor together with a local binary neighborhood concept, our algorithm better retains sharp features and produces smoother umbilical regions than previous approaches. On top of that, we provide a stoc...

  2. Voting over Selective Immigration Policies with Immigration Aversion

    OpenAIRE

    Giuseppe Russo

    2011-01-01

    The claim that "skilled immigration is welcome" is often associated to the increasing adoption of selective immigration policies. I study the voting over differentiated immigration policies in a two-country, three-factor general equilibrium model where there exist skilled and unskilled workers, migration decisions are endogenous, enforcing immigration restriction is costly, and natives dislike unskilled immigration. According to my findings, decisions over border closure are made to protect t...

  3. Voting strategy for artifact reduction in digital breast tomosynthesis

    International Nuclear Information System (INIS)

    Wu Tao; Moore, Richard H.; Kopans, Daniel B.

    2006-01-01

    Artifacts are observed in digital breast tomosynthesis (DBT) reconstructions due to the small number of projections and the narrow angular range that are typically employed in tomosynthesis imaging. In this work, we investigate the reconstruction artifacts that are caused by high-attenuation features in breast and develop several artifact reduction methods based on a 'voting strategy'. The voting strategy identifies the projection(s) that would introduce artifacts to a voxel and rejects the projection(s) when reconstructing the voxel. Four approaches to the voting strategy were compared, including projection segmentation, maximum contribution deduction, one-step classification, and iterative classification. The projection segmentation method, based on segmentation of high-attenuation features from the projections, effectively reduces artifacts caused by metal and large calcifications that can be reliably detected and segmented from projections. The other three methods are based on the observation that contributions from artifact-inducing projections have higher value than those from normal projections. These methods attempt to identify the projection(s) that would cause artifacts by comparing contributions from different projections. Among the three methods, the iterative classification method provides the best artifact reduction; however, it can generate many false positive classifications that degrade the image quality. The maximum contribution deduction method and one-step classification method both reduce artifacts well from small calcifications, although the performance of artifact reduction is slightly better with the one-step classification. The combination of one-step classification and projection segmentation removes artifacts from both large and small calcifications

  4. Strategic Voting in Heterogeneous Electorates: An Experimental Study

    Directory of Open Access Journals (Sweden)

    Marcelo Tyszler

    2013-11-01

    Full Text Available We study strategic voting in a setting where voters choose from three options and Condorcet cycles may occur. We introduce in the electorate heterogeneity in preference intensity by allowing voters to differ in the extent to which they value the three options. Three information conditions are tested: uninformed, in which voters know only their own preference ordering and the own benefits from each option; aggregate information, in which in addition they know the aggregate realized distribution of the preference orderings and full information, in which they also know how the relative importance attributed to the options are distributed within the electorate. As a general result, heterogeneity seems to decrease the level of strategic voting in our experiment compared to the homogenous preference case that we study in a companion paper. Both theoretically and empirically (with data collected in a laboratory experiment, the main comparative static results obtained for the homogenous case carry over to the present setting with preference heterogeneity. Moreover, information about the realized aggregate distribution of preferences seems to be the element that best explains observed differences in voting behavior. Additional information about the realized distribution of preference intensity does not yield significant further changes.

  5. Reliability and considerations of electronic voting, a global vision

    Directory of Open Access Journals (Sweden)

    Jussibeth Tatiana Places Chungata

    2017-03-01

    Full Text Available This article is intended to perform an analysis of all the aspects that comprise and revolve around the use or implementation of new technologies in election processes such as automation of democracy; this is done through the collection of bibliographic information from articles, books, and other sources on concepts, differences, comparisons, methodology of citizen participation, experiences, among others. With the purpose of establishing the utility or inconveniences that may present this electronic voting system to use it in real elections. There are realized general descriptions of every topic, where little by little possible factors of adoption are explored or I reject to this new technology, clarifying in the functionality, used elements and factors to comply. As a result, it reflects on the positive and negative impact that have these systems in society, giving points to consider about this Automation at different stages which comprise the electoral processes, from the construction, configuration, storage up to the transmission and consolidation of results. Is leaves clear them criteria that is should evaluate a system of vote electronic that van from reliability to effectiveness in their processes, to determine the need and relationship of costs - benefits. Without leaving of side our country, there is described the current condition that has the system of electronic vote in our electoral processes, which until now has not been implemented, only has performed testing of printing in our community.

  6. Voting Patterns on Hungarian Parliamentary Elections in 2002–2006

    Directory of Open Access Journals (Sweden)

    Barnabás Rácz

    2009-01-01

    Full Text Available In the post–communist transitional era, Hungarian elections show diverse results among various areas, raising the question if there are firmly embedded differences between some parts of the country. In the light of the election returns between 1985–2006, it appears that there is a more or less definite pattern. This study will examine the 2006 legislative returns and compare the results with the previous trends and especially the 2002 data, testing the validity of the findings indicating the presence of some fairly constant regional standards of voting. As a main indicator of past trends we use mostly the territorial (party lists which provide more accurate picture of voting preferences that individual districts which in runoffs carry an indirect distortion of voters’ primary preferences by other considerations.2 For a deeper analysis of the recent 2002 and 2006 elections, we will compare the first run individual district voting outcomes, as they give the more accurate picture of the voters’ real preferences.

  7. Do authoritarians vote for authoritarians? Evidence from Latin America

    Directory of Open Access Journals (Sweden)

    Mollie J. Cohen

    2016-12-01

    Full Text Available During the 2016 presidential election campaign in the United States, scholars argued that authoritarian visions of the family are associated with support for Donald Trump, a candidate also noted to exhibit authoritarian or illiberal tendencies. Though it is plausible that “authoritarian” citizens (defined by parenting attitudes vote for “authoritarian” candidates (defined by disrespect for democratic institutions, past research provides relatively little guide regarding this relationship. One reason is that few US candidates announce overtly authoritarian views. Latin America, by contrast, has had many such candidates. We take advantage of this variation using the 2012 AmericasBarometer, which applied a battery of authoritarian parenting attitudes. We first describe mass authoritarianism across Latin America, showing it is associated with many social attitudes. We then examine authoritarians’ voting behavior, distinguishing between support for “mano dura” (“strong arm” candidates, who are usually rightists, and for candidates threatening violations of general civil liberties, who are often leftists in Latin America. We find that authoritarians tend to vote for right-wing authoritarian candidates, while authoritarianism boosts support for candidates threatening civil liberty violations only among citizens identifying on the ideological right. Education is the most consistent determinant reducing support for both leftist and rightist authoritarian candidates.

  8. Robustness of public choice models of voting behavior

    Directory of Open Access Journals (Sweden)

    Mihai UNGUREANU

    2013-05-01

    Full Text Available Modern economics modeling practice involves highly unrealistic assumptions. Since testing such models is not always an easy enterprise, researchers face the problem of determining whether a result is dependent (or not on the unrealistic details of the model. A solution for this problem is conducting robustness analysis. In its classical form, robustness analysis is a non-empirical method of confirmation – it raises our trust in a given result by implying it with from several different models. In this paper I argue that robustness analysis could be thought as a method of post-empirical failure. This form of robustness analysis involves assigning guilt for the empirical failure to a certain part of the model. Starting from this notion of robustness, I analyze a case of empirical failure from public choice theory or the economic approach of politics. Using the fundamental methodological principles of neoclassical economics, the first model of voting behavior implied that almost no one would vote. This was clearly an empirical failure. Public choice scholars faced the problem of either restraining the domain of their discipline or giving up to some of their neoclassical methodological features. The second solution was chosen and several different models of voting behavior were built. I will treat these models as a case for performing robustness analysis and I will determine which assumption from the original model is guilty for the empirical failure.

  9. Gender, populist attitudes, and voting: Explaining the gender gap in voting for populist radical right and populist radical left parties

    OpenAIRE

    Spierings, N.; Zaslove, A.S.

    2017-01-01

    Empirical studies have demonstrated that compared to almost all other parties, populist radical right (PRR) parties draw more votes from men than from women. However, the two dominant explanations that are generally advanced to explain this disparity - gender differences regarding socio-economic position and lower perceptions regarding the threat of immigrants - cannot fully explain the difference. The article contends that it might actually be gender differences regarding the conceptualisati...

  10. Comparison of different models for ground-level atmospheric turbulence strength (C(n)(2)) prediction with a new model according to local weather data for FSO applications.

    Science.gov (United States)

    Arockia Bazil Raj, A; Arputha Vijaya Selvi, J; Durairaj, S

    2015-02-01

    Atmospheric parameters strongly affect the performance of free-space optical communication (FSOC) systems when the optical wave is propagating through the inhomogeneous turbulence transmission medium. Developing a model to get an accurate prediction of the atmospheric turbulence strength (C(n)(2)) according to meteorological parameters (weather data) becomes significant to understand the behavior of the FSOC channel during different seasons. The construction of a dedicated free-space optical link for the range of 0.5 km at an altitude of 15.25 m built at Thanjavur (Tamil Nadu) is described in this paper. The power level and beam centroid information of the received signal are measured continuously with weather data at the same time using an optoelectronic assembly and the developed weather station, respectively, and are recorded in a data-logging computer. Existing models that exhibit relatively fewer prediction errors are briefed and are selected for comparative analysis. Measured weather data (as input factors) and C(n)(2) (as a response factor) of size [177,147×4] are used for linear regression analysis and to design mathematical models more suitable in the test field. Along with the model formulation methodologies, we have presented the contributions of the input factors' individual and combined effects on the response surface and the coefficient of determination (R(2)) estimated using analysis of variance tools. An R(2) value of 98.93% is obtained using the new model, model equation V, from a confirmatory test conducted with a testing data set of size [2000×4]. In addition, the prediction accuracies of the selected and the new models are investigated during different seasons in a one-year period using the statistics of day, week-averaged, month-averaged, and seasonal-averaged diurnal Cn2 profiles, and are verified in terms of the sum of absolute error (SAE). A Cn2 prediction maximum average SAE of 2.3×10(-13)  m(-2/3) is achieved using the new model in

  11. Handgrip strength is associated with, but poorly predicts, disability in older women with acute low back pain: A 12-month follow-up study.

    Science.gov (United States)

    Felício, Diogo Carvalho; Diz, Juliano Bergamaschine Mata; Pereira, Daniele Sirineu; Queiroz, Bárbara Zille de; Silva, Juscélio Pereira de; Moreira, Bruno de Souza; Oliveira, Vinícius Cunha; Pereira, Leani Souza Máximo

    2017-10-01

    Older women with low back pain (LBP) constitute a special subpopulation at risk of severe and permanent disability. It is important to identify factors limiting functionality in this population in order to reduce costs and improve both prevention and intervention. Handgrip strength (HGS) is a biomarker of aging associated with several adverse health outcomes, but long-term associations with disability in older patients with LBP are not known. To examine whether HGS predicts disability in older women with acute low back pain (LBP). Longitudinal analyses were conducted with a sample of 135 older women from the international multicenter study Back Complaints in the Elders (BACE-Brazil). Women aged 60 years and over with a new episode of acute LBP were included. HGS was assessed with Jamar ® dynamometer, and disability was assessed using the Roland Morris questionnaire and gait speed test. Variables were assessed at baseline and at 12-month follow-up. Linear regression models explored associations between HGS and disability measures. Significant association was found between HGS at baseline and gait speed at 12-month follow-up (r=-0.24; p=0.004). A multivariable-adjusted model showed that this association was independent of age, body mass index, and pain intensity (adjusted R 2 =0.13; pinclusion of HGS as an independent variable. No association was found between HGS and score on the Roland Morris questionnaire. Caution is needed regarding the use of HGS as a predictive measure of disability in older women with acute LBP. Changes in gait speed were very small and unlikely to be of clinical relevance. Copyright © 2017 Elsevier B.V. All rights reserved.

  12. Indigenous Adoption of Internet Voting: A Case Study of Whitefish River First Nation

    Directory of Open Access Journals (Sweden)

    Chelsea Gabel

    2016-09-01

    Full Text Available Indigenous communities and organizations are increasingly using digital technologies to build community capacity, strengthen community consultation, and improve political participation. In particular, Internet voting is a type of technology to which First Nations have been drawn. This article explores Whitefish River First Nation's (WRFN experience introducing Internet voting in the course of ratifying a new matrimonial real property law (MRP. Specifically, we examine the implications of Internet voting for political participation and electoral administration at the community level. Although community members’ uptake of Internet voting was very modest, we find the experience of adoption had other subtle impacts on community capacity, specifically in terms of empowering the community to pass its own laws and connecting youth and elders. With respect to administration, Internet voting provided an opportunity to connect with community members using technology, to modernize voting processes, and to better accommodate community members needs.

  13. Challenges amp Solutions Of Adoption In Regards To Phone-Based Remote E-Voting

    Directory of Open Access Journals (Sweden)

    Hermann Ken Jamnadas

    2015-08-01

    Full Text Available Abstract Remote Voting Systems has not been universally adopted by most countries for their elections such as in the case of Fiji. Although mobile phones are quite prevalent around the world and the amount of smart phones sold is increasing at a rapid rate there have not been many elections which have capitalized on the use of Mobile Phones as a remote voting tool. This paper is a limited review of previous papers on remote voting systems. The aim was to study challenges of adoption of remote e-voting systems such as through a mobile phone and suggest innovative solutions to those challenges. As such we propose a combination of new policy solutions and technical solutions such as the use of QR code and checksum for vote verification the use of real time facial recognition systems and the leveraging of existing mobile hardware to ensure a secure anonymous and trustworthy remote voting system like it has never been before.

  14. Analyzing the behavior and reliability of voting systems comprising tri-state units using enumerated simulation

    International Nuclear Information System (INIS)

    Yacoub, Sherif

    2003-01-01

    Voting is a common technique used in combining results from peer experts, for multiple purposes, and in a variety of domains. In distributed decision making systems, voting mechanisms are used to obtain a decision by incorporating the opinion of multiple units. Voting systems have many applications in fault tolerant systems, mutual exclusion in distributed systems, and replicated databases. We are specifically interested in voting systems as used in decision-making applications. In this paper, we describe a synthetic experimental procedure to study the behavior of a variety of voting system configurations using a simulator to: analyze the state of each expert, apply a voting mechanism, and analyze the voting results. We introduce an enumerated-simulation approach and compare it to existing mathematical approaches. The paper studies the following behaviors of a voting system: (1) the reliability of the voting system, R; (2) the probability of reaching a consensus, P c ; (3) certainty index, T; and (4) the confidence index, C. The configuration parameters controlling the analysis are: (1) the number of participating experts, N, (2) the possible output states of an expert, and (3) the probability distribution of each expert states. We illustrate the application of this approach to a voting system that consists of N units, each has three states: correct (success), wrong (failed), and abstain (did not produce an output). The final output of the decision-making (voting) system is correct if a consensus is reached on a correct unit output, abstain if all units abstain from voting, and wrong otherwise. We will show that using the proposed approach, we can easily conduct studies to unleash several behaviors of a decision-making system with tri-state experts

  15. Prediction of bone strength by μCT and MDCT-based finite-element-models: How much spatial resolution is needed?

    Energy Technology Data Exchange (ETDEWEB)

    Bauer, Jan S., E-mail: jsb@tum.de [Department of Radiology, Technische Universität München, Munich (Germany); Department of Radiology, University of California, San Francisco, CA (United States); Max Planck Institute for Extraterrestrial Physics, Garching (Germany); Sidorenko, Irina [Max Planck Institute for Extraterrestrial Physics, Garching (Germany); Mueller, Dirk [Department of Radiology, Universität Köln (Germany); Baum, Thomas [Department of Radiology, Technische Universität München, Munich (Germany); Department of Radiology, University of California, San Francisco, CA (United States); Max Planck Institute for Extraterrestrial Physics, Garching (Germany); Issever, Ahi Sema [Department of Radiology, University of California, San Francisco, CA (United States); Department of Radiology, Charite, Berlin (Germany); Eckstein, Felix [Institute of Anatomy and Musculoskeletal Research, Paracelsus Medical University, Salzburg (Austria); Rummeny, Ernst J. [Department of Radiology, Technische Universität München, Munich (Germany); Link, Thomas M. [Department of Radiology, University of California, San Francisco, CA (United States); Raeth, Christoph W. [Max Planck Institute for Extraterrestrial Physics, Garching (Germany)

    2014-01-15

    Objectives: Finite-element-models (FEM) are a promising technology to predict bone strength and fracture risk. Usually, the highest spatial resolution technically available is used, but this requires excessive computation time and memory in numerical simulations of large volumes. Thus, FEM were compared at decreasing resolutions with respect to local strain distribution and prediction of failure load to (1) validate MDCT-based FEM and to (2) optimize spatial resolution to save computation time. Materials and methods: 20 cylindrical trabecular bone specimens (diameter 12 mm, length 15–20 mm) were harvested from elderly formalin-fixed human thoracic spines. All specimens were examined by micro-CT (isotropic resolution 30 μm) and whole-body multi-row-detector computed tomography (MDCT, 250 μm × 250 μm × 500 μm). The resolution of all datasets was lowered in eight steps to ∼2000 μm × 2000 μm × 500 μm and FEM were calculated at all resolutions. Failure load was determined by biomechanical testing. Probability density functions of local micro-strains were compared in all datasets and correlations between FEM-based and biomechanically measured failure loads were determined. Results: The distribution of local micro-strains was similar for micro-CT and MDCT at comparable resolutions and showed a shift toward higher average values with decreasing resolution, corresponding to the increasing apparent trabecular thickness. Small micro-strains (ε{sub eff} < 0.005) could be calculated down to 250 μm × 250 μm × 500 μm. Biomechanically determined failure load showed significant correlations with all FEM, up to r = 0.85 and did not significantly change with lower resolution but decreased with high thresholds, due to loss of trabecular connectivity. Conclusion: When choosing connectivity-preserving thresholds, both micro-CT- and MDCT-based finite-element-models well predicted failure load and still accurately revealed the distribution of local micro-strains in

  16. Prediction of bone strength by μCT and MDCT-based finite-element-models: How much spatial resolution is needed?

    International Nuclear Information System (INIS)

    Bauer, Jan S.; Sidorenko, Irina; Mueller, Dirk; Baum, Thomas; Issever, Ahi Sema; Eckstein, Felix; Rummeny, Ernst J.; Link, Thomas M.; Raeth, Christoph W.

    2014-01-01

    Objectives: Finite-element-models (FEM) are a promising technology to predict bone strength and fracture risk. Usually, the highest spatial resolution technically available is used, but this requires excessive computation time and memory in numerical simulations of large volumes. Thus, FEM were compared at decreasing resolutions with respect to local strain distribution and prediction of failure load to (1) validate MDCT-based FEM and to (2) optimize spatial resolution to save computation time. Materials and methods: 20 cylindrical trabecular bone specimens (diameter 12 mm, length 15–20 mm) were harvested from elderly formalin-fixed human thoracic spines. All specimens were examined by micro-CT (isotropic resolution 30 μm) and whole-body multi-row-detector computed tomography (MDCT, 250 μm × 250 μm × 500 μm). The resolution of all datasets was lowered in eight steps to ∼2000 μm × 2000 μm × 500 μm and FEM were calculated at all resolutions. Failure load was determined by biomechanical testing. Probability density functions of local micro-strains were compared in all datasets and correlations between FEM-based and biomechanically measured failure loads were determined. Results: The distribution of local micro-strains was similar for micro-CT and MDCT at comparable resolutions and showed a shift toward higher average values with decreasing resolution, corresponding to the increasing apparent trabecular thickness. Small micro-strains (ε eff < 0.005) could be calculated down to 250 μm × 250 μm × 500 μm. Biomechanically determined failure load showed significant correlations with all FEM, up to r = 0.85 and did not significantly change with lower resolution but decreased with high thresholds, due to loss of trabecular connectivity. Conclusion: When choosing connectivity-preserving thresholds, both micro-CT- and MDCT-based finite-element-models well predicted failure load and still accurately revealed the distribution of local micro-strains in spatial

  17. Design and Implementation of a Mobile Voting System Using a Novel Oblivious and Proxy Signature

    Directory of Open Access Journals (Sweden)

    Shin-Yan Chiou

    2017-01-01

    Full Text Available Electronic voting systems can make the voting process much more convenient. However, in such systems, if a server signs blank votes before users vote, it may cause undue multivoting. Furthermore, if users vote before the signing of the server, voting information will be leaked to the server and may be compromised. Blind signatures could be used to prevent leaking voting information from the server; however, malicious users could produce noncandidate signatures for illegal usage at that time or in the future. To overcome these problems, this paper proposes a novel oblivious signature scheme with a proxy signature function to satisfy security requirements such as information protection, personal privacy, and message verification and to ensure that no one can cheat other users (including the server. We propose an electronic voting system based on the proposed oblivious and proxy signature scheme and implement this scheme in a smartphone application to allow users to vote securely and conveniently. Security analyses and performance comparisons are provided to show the capability and efficiency of the proposed scheme.

  18. Voting rights for alien residents--who wants it?

    Science.gov (United States)

    Tung, K R

    1985-01-01

    Foreign nationals permanently domiciled in Sweden have been entitled since 1975 to vote and to municipal and county council elections. This article examines some of the major issues associated with international migration and disenfranchisement of migrants created by a contradiction between economic and political rationale. The alien population of Sweden remained small for a long time, but during the 1960s it rose 1st to 300,000 and later to 400,000 persons. Since 1970, aliens have constituted roughly 5% of the total national population of 8.3 million. Surveys following the 3 elections held in Sweden so far have shown immigrants to be quite well informed concerning election procedures and the parties. In contrast to single males, women with children tend to be highly stable, because of favorable social security for women, particularly for women with children. Participation elections among women (55%) is higher than among men (49%), and married women (58%) are usually the highest participants. Class-voting is still rather strong in Sweden; the percentage difference in preference for Socialist parties between working-class and middle-class was as high 55% in 1960. Long term trends in the distribution of party-preference among immigrants are determined to a large extent by the policy on immigration regulation and political asylum for refugees and exiles. Another selectivity is due to the differential remigration rate. A 1976 study showed that although local franchise of immigrants is now the law of the land, some Swedes are still against the granting of voting rights and electability to immigrants. On the whole, there is clearly a psychological environment conducive, at least in Stockholm, to the task of putting local franchise reform into real practice.

  19. Mesh Denoising based on Normal Voting Tensor and Binary Optimization.

    Science.gov (United States)

    Yadav, Sunil Kumar; Reitebuch, Ulrich; Polthier, Konrad

    2017-08-17

    This paper presents a two-stage mesh denoising algorithm. Unlike other traditional averaging approaches, our approach uses an element-based normal voting tensor to compute smooth surfaces. By introducing a binary optimization on the proposed tensor together with a local binary neighborhood concept, our algorithm better retains sharp features and produces smoother umbilical regions than previous approaches. On top of that, we provide a stochastic analysis on the different kinds of noise based on the average edge length. The quantitative results demonstrate that the performance of our method is better compared to state-of-the-art smoothing approaches.

  20. Road detection in SAR images using a tensor voting algorithm

    Science.gov (United States)

    Shen, Dajiang; Hu, Chun; Yang, Bing; Tian, Jinwen; Liu, Jian

    2007-11-01

    In this paper, the problem of the detection of road networks in Synthetic Aperture Radar (SAR) images is addressed. Most of the previous methods extract the road by detecting lines and network reconstruction. Traditional algorithms such as MRFs, GA, Level Set, used in the progress of reconstruction are iterative. The tensor voting methodology we proposed is non-iterative, and non-sensitive to initialization. Furthermore, the only free parameter is the size of the neighborhood, related to the scale. The algorithm we present is verified to be effective when it's applied to the road extraction using the real Radarsat Image.

  1. A Type Theoretic Investigation of the Verification of Voting Protocols

    DEFF Research Database (Denmark)

    Gustafsson, Daniel

    is correct, and on the other hand we can we trust that the secrecy of the vote is preserved. These seemingly contradictory statements have fuelled new developments in cryptography, but the question remain can we trust these developments? The thesis of my dissertation is that it possible to formalise...... and calculation of probabilities, in particular ∑-types are used as they correspond to summation. Furthermore, I extend the type theory with process algebraic constructions in order to capture attack games as defined by semantic security in cryptography. To type these processes I propose a session type system...

  2. Marijuana policy opinions in Washington state since legalization: Would voters vote the same way?

    Science.gov (United States)

    Subbaraman, Meenakshi Sabina; Kerr, William C

    2016-12-01

    In 2012, voters in Washington state approved Initiative 502 (I-502) which legalized recreational marijuana use at the state level. This study examines the relationship between demographics, marijuana and alcohol use, and voting outcomes, as well as how these variables relate to (i) whether voters would still vote the same way (a reflection of satisfaction with the new policy) and (ii) the likelihood of using marijuana purchased from legal retail stores. The sample consists of 2,007 adult Washington state residents recruited through Random Digit Dial between January and October 2014. Bivariate tests and multivariable regressions were used for analyses. Less than five percent of those who voted for marijuana legalization would change their votes, whereas 14% of those who voted against legalization would change their votes. In multivariable models controlling for demographics, substance use, and marijuana-related opinions, those who voted for legalization had half the odds of changing their votes than those who voted against it. Among past-year non-marijuana users, almost 10% were somewhat/very likely to use marijuana if they could buy it from a legal store. Past marijuana use, the belief that adults should be allowed to grow marijuana for personal use, and the belief that marijuana is not very risky for health were all related to increased likelihood of using marijuana purchased from legal stores. Since November 2012, support for marijuana legalization in Washington state has increased; accounting for the proportion of voters who would change their votes suggests that I-502 would pass today with even more votes in favor.

  3. An Improved Evolutionary Programming with Voting and Elitist Dispersal Scheme

    Science.gov (United States)

    Maity, Sayan; Gunjan, Kumar; Das, Swagatam

    Although initially conceived for evolving finite state machines, Evolutionary Programming (EP), in its present form, is largely used as a powerful real parameter optimizer. For function optimization, EP mainly relies on its mutation operators. Over past few years several mutation operators have been proposed to improve the performance of EP on a wide variety of numerical benchmarks. However, unlike real-coded GAs, there has been no fitness-induced bias in parent selection for mutation in EP. That means the i-th population member is selected deterministically for mutation and creation of the i-th offspring in each generation. In this article we present an improved EP variant called Evolutionary Programming with Voting and Elitist Dispersal (EPVE). The scheme encompasses a voting process which not only gives importance to best solutions but also consider those solutions which are converging fast. By introducing Elitist Dispersal Scheme we maintain the elitism by keeping the potential solutions intact and other solutions are perturbed accordingly, so that those come out of the local minima. By applying these two techniques we can be able to explore those regions which have not been explored so far that may contain optima. Comparison with the recent and best-known versions of EP over 25 benchmark functions from the CEC (Congress on Evolutionary Computation) 2005 test-suite for real parameter optimization reflects the superiority of the new scheme in terms of final accuracy, speed, and robustness.

  4. Ising percolation in a three-state majority vote model

    Energy Technology Data Exchange (ETDEWEB)

    Balankin, Alexander S., E-mail: abalankin@ipn.mx [Grupo Mecánica Fractal, ESIME, Instituto Politécnico Nacional, México D.F., 07738 (Mexico); Martínez-Cruz, M.A.; Gayosso Martínez, Felipe [Grupo Mecánica Fractal, ESIME, Instituto Politécnico Nacional, México D.F., 07738 (Mexico); Mena, Baltasar [Laboratorio de Ingeniería y Procesos Costeros, Instituto de Ingeniería, Universidad Nacional Autónoma de México, Sisal, Yucatán, 97355 (Mexico); Tobon, Atalo; Patiño-Ortiz, Julián; Patiño-Ortiz, Miguel; Samayoa, Didier [Grupo Mecánica Fractal, ESIME, Instituto Politécnico Nacional, México D.F., 07738 (Mexico)

    2017-02-05

    Highlights: • Three-state non-consensus majority voter model is introduced. • Phase transition in the absorbing state non-consensus is revealed. • The percolation transition belongs to the universality class of Ising percolation. • The effect of an updating rule for a tie between voter neighbors is highlighted. - Abstract: In this Letter, we introduce a three-state majority vote model in which each voter adopts a state of a majority of its active neighbors, if exist, but the voter becomes uncommitted if its active neighbors are in a tie, or all neighbors are the uncommitted. Numerical simulations were performed on square lattices of different linear size with periodic boundary conditions. Starting from a random distribution of active voters, the model leads to a stable non-consensus state in which three opinions coexist. We found that the “magnetization” of the non-consensus state and the concentration of uncommitted voters in it are governed by an initial composition of system and are independent of the lattice size. Furthermore, we found that a configuration of the stable non-consensus state undergoes a second order percolation transition at a critical concentration of voters holding the same opinion. Numerical simulations suggest that this transition belongs to the same universality class as the Ising percolation. These findings highlight the effect of an updating rule for a tie between voter neighbors on the critical behavior of models obeying the majority vote rule whenever a strict majority exists.

  5. Ising percolation in a three-state majority vote model

    International Nuclear Information System (INIS)

    Balankin, Alexander S.; Martínez-Cruz, M.A.; Gayosso Martínez, Felipe; Mena, Baltasar; Tobon, Atalo; Patiño-Ortiz, Julián; Patiño-Ortiz, Miguel; Samayoa, Didier

    2017-01-01

    Highlights: • Three-state non-consensus majority voter model is introduced. • Phase transition in the absorbing state non-consensus is revealed. • The percolation transition belongs to the universality class of Ising percolation. • The effect of an updating rule for a tie between voter neighbors is highlighted. - Abstract: In this Letter, we introduce a three-state majority vote model in which each voter adopts a state of a majority of its active neighbors, if exist, but the voter becomes uncommitted if its active neighbors are in a tie, or all neighbors are the uncommitted. Numerical simulations were performed on square lattices of different linear size with periodic boundary conditions. Starting from a random distribution of active voters, the model leads to a stable non-consensus state in which three opinions coexist. We found that the “magnetization” of the non-consensus state and the concentration of uncommitted voters in it are governed by an initial composition of system and are independent of the lattice size. Furthermore, we found that a configuration of the stable non-consensus state undergoes a second order percolation transition at a critical concentration of voters holding the same opinion. Numerical simulations suggest that this transition belongs to the same universality class as the Ising percolation. These findings highlight the effect of an updating rule for a tie between voter neighbors on the critical behavior of models obeying the majority vote rule whenever a strict majority exists.

  6. Ising percolation in a three-state majority vote model

    Science.gov (United States)

    Balankin, Alexander S.; Martínez-Cruz, M. A.; Gayosso Martínez, Felipe; Mena, Baltasar; Tobon, Atalo; Patiño-Ortiz, Julián; Patiño-Ortiz, Miguel; Samayoa, Didier

    2017-02-01

    In this Letter, we introduce a three-state majority vote model in which each voter adopts a state of a majority of its active neighbors, if exist, but the voter becomes uncommitted if its active neighbors are in a tie, or all neighbors are the uncommitted. Numerical simulations were performed on square lattices of different linear size with periodic boundary conditions. Starting from a random distribution of active voters, the model leads to a stable non-consensus state in which three opinions coexist. We found that the "magnetization" of the non-consensus state and the concentration of uncommitted voters in it are governed by an initial composition of system and are independent of the lattice size. Furthermore, we found that a configuration of the stable non-consensus state undergoes a second order percolation transition at a critical concentration of voters holding the same opinion. Numerical simulations suggest that this transition belongs to the same universality class as the Ising percolation. These findings highlight the effect of an updating rule for a tie between voter neighbors on the critical behavior of models obeying the majority vote rule whenever a strict majority exists.

  7. Policy voting, projection, and persuasion: an application of balance theory to electoral behavior

    NARCIS (Netherlands)

    Visser, Max; Visser, Max

    1994-01-01

    In this article differences between rational, policy-based, and rationalized voting are discussed, and it is argued that these forms of electoral decision making are not properly analyzed in existing electoral studies. Policy voting, persuasion, and projection are then redefined as three possible

  8. 75 FR 1525 - Walnuts Grown in California; Changes to Regulations Governing Voting Procedures

    Science.gov (United States)

    2010-01-12

    ...;Prices of new books are listed in the first FEDERAL REGISTER issue of each #0;week. #0; #0; #0; #0;#0... for voting by mail or telegram to include voting by e-mail and facsimile. In addition, reference to... U.S.C. 601-612), the Agricultural Marketing Service (AMS) has considered the economic impact of this...

  9. Class voting in Western industrialized countries, 1945-1990: Systematizing and testing explanations

    NARCIS (Netherlands)

    Nieuwbeerta, P.; Ultee, W.C.

    1999-01-01

    Analyzing data obtained from the literature and our own calculations, significant differences were found among countries in their levels of class voting. The Scandinavian countries had the highest and Canada and the USA the lowest levels of class voting. Since the 1950s, there was a decline in

  10. Legality, separation of powers, stability of electoral law: The impact of new voting technologies

    OpenAIRE

    Driza Maurer, Ardita

    2016-01-01

    Legality, separation of powers and stability of electoral law are some of the principles of the European constitutional heritage. They should be respected and implemented throughout the electoral process, including when new voting technologies are used. This paper discusses e-voting specific implementations of the principles or challenges to it. Ongoing and proposed improvements in legislation or practice are pinpointed.

  11. Tensor voting for image correction by global and local intensity alignment.

    Science.gov (United States)

    Jia, Jiaya; Tang, Chi-Keung

    2005-01-01

    This paper presents a voting method to perform image correction by global and local intensity alignment. The key to our modeless approach is the estimation of global and local replacement functions by reducing the complex estimation problem to the robust 2D tensor voting in the corresponding voting spaces. No complicated model for replacement function (curve) is assumed. Subject to the monotonic constraint only, we vote for an optimal replacement function by propagating the curve smoothness constraint using a dense tensor field. Our method effectively infers missing curve segments and rejects image outliers. Applications using our tensor voting approach are proposed and described. The first application consists of image mosaicking of static scenes, where the voted replacement functions are used in our iterative registration algorithm for computing the best warping matrix. In the presence of occlusion, our replacement function can be employed to construct a visually acceptable mosaic by detecting occlusion which has large and piecewise constant color. Furthermore, by the simultaneous consideration of color matches and spatial constraints in the voting space, we perform image intensity compensation and high contrast image correction using our voting framework, when only two defective input images are given.

  12. 75 FR 1614 - Submission for OMB Review-2010 Election Administration and Voting Survey; Comment Request

    Science.gov (United States)

    2010-01-12

    ... ballots cast; voter registration; overseas and military voting; Election Day activities; voting technology... FURTHER INFORMATION CONTACT: Ms. Karen Lynn-Dyson or Ms. Shelly Anderson at (202) 566-3100. SUPPLEMENTARY... transmitted, returned and submitted for counting (cast), and counted; (b) Total number of UOCAVA absentee...

  13. Ethics of e-voting: an essay on requirements and values in Internet elections

    NARCIS (Netherlands)

    Pieters, Wolter; Becker, M.J.; Mishra, S.S.

    2008-01-01

    In this paper, we investigate ethical issues involved in the development and implementation of Internet voting technology. From a phenomenological perspective, we describe how voting via the Internet mediates the relation between people and democracy. In this relation, trust plays a major role. The

  14. Ethics of e-voting: an essay on requirements and values in Internet elections

    NARCIS (Netherlands)

    Pieters, Wolter; Brey, P.A.E.; Becker, M.J.; Grodzinsky, F.S.; Introna, L.D.

    2005-01-01

    In this paper, we investigate ethical issues involved in the development and implementation of Internet voting technology. From a phenomenological perspective, we describe how voting via the Internet mediates the relation between people and democracy. In this relation, trust plays a major role. The

  15. Analysing Vote Counting Algorithms Via Logic - And its Application to the CADE Election Scheme

    DEFF Research Database (Denmark)

    Schürmann, Carsten; Beckert, Bernhard; Gore, Rejeev

    2013-01-01

    We present a method for using first-order logic to specify the semantics of preferences as used in common vote counting algorithms. We also present a corresponding system that uses Celf linear-logic programs to describe voting algorithms and which generates explicit examples when the algorithm de...

  16. Estimating the Preferences of Central Bankers : An Analysis of Four Voting Records

    NARCIS (Netherlands)

    Eijffinger, S.C.W.; Mahieu, R.J.; Raes, L.B.D.

    2013-01-01

    Abstract: This paper analyzes the voting records of four central banks (Sweden, Hungary, Poland and the Czech Republic) with spatial models of voting. We infer the policy preferences of the monetary policy committee members and use these to analyze the evolution in preferences over time and the

  17. Estimating the preferences of central bankers : an analysis of four voting records

    NARCIS (Netherlands)

    Eijffinger, S.C.W.; Mahieu, R.J.; Raes, L.

    2013-01-01

    This paper analyzes the voting records of four central banks (Sweden, Hungary, Poland and the Czech Republic) with spatial models of voting. We infer the policy preferences of the monetary policy committee members and use these to analyze the evolution in preferences over time and the differences in

  18. Public Choice and Private Interest: Explaining the Vote for Property Tax Classification in Massachusetts.

    Science.gov (United States)

    Bloom, Howard S.

    1979-01-01

    Argues that citizens' perceptions of their monetary self-interest can markedly influence their votes and that such self-interested voting requires clear definition of the alternatives, widespread publicity about the issues, and a simple presentation of what each alternative implies. Available from NTA-TIA, 21 East State Street, Columbus, OH 43215.…

  19. Clickers and Classroom Voting in a Transition to Advanced Mathematics Course

    Science.gov (United States)

    Lockard, Shannon R.; Metcalf, Rebecca C.

    2015-01-01

    Clickers and classroom voting are used across a number of disciplines in a variety of institutions. There are several papers that describe the use of clickers in mathematics classrooms such as precalculus, calculus, statistics, and even differential equations. This paper describes a method of incorporating clickers and classroom voting in a…

  20. Geography, culture, and religion: Explaining the bias in Eurovision song contest voting

    NARCIS (Netherlands)

    Spierdijk, L.; Vellekoop, M.H.

    This paper analyses votes cast in the Eurovision Song Contest in the period 1975 - 2003. We test whether accusations of 'political' voting among participants can be substantiated by looking at geographical influences. Our approach differs in two ways from earlier studies. First, we take into account

  1. Can Governments Use Get Out the Vote Letters to Solve Europe’s Turnout Crisis?

    DEFF Research Database (Denmark)

    Bhatti, Yosef; Dahlgaard, Jens Olav; Hansen, Jonas Hedegaard

    2018-01-01

    to vote in an upcoming Danish election is delivered to more than 60,000 first-time voters using direct personal letters. Eight different letters are designed, based on the calculus of voting and prospect theory. The sample is randomly divided into treatment groups or the control group. Using validated...

  2. A generalization of Paillier's public-key system with applications to electronic voting

    DEFF Research Database (Denmark)

    Damgård, Ivan Bjerre; Jurik, Mads Johan; Nielsen, Jesper Buus

    2010-01-01

    schemes. We show how the basic scheme for a yes/no vote can be easily adapted to casting a vote for up to t out of L candidates. The same basic building blocks can also be adapted to provide receipt-free elections, under appropriate physical assumptions. The scheme for 1 out of L elections can...

  3. Framing Electoral Transparency: A comparative analysis of three e-votes counting ceremonies

    DEFF Research Database (Denmark)

    Schürmann, Carsten; Markussen, Randi; Bélanger, Olivier

    2016-01-01

    in the field of e-voting has been proved to be di cult to tackle practically as well as analytically. In this paper we introduce the notion of ‘frames of transparency’ and deploy it to conduct a comparative analysis of three e-votes counting ceremonies in Norway, Estonia and Australia. We ask the question...

  4. Temptations of turnout and modernisation: e-voting discourses in the UK and the Netherlands

    NARCIS (Netherlands)

    Pieters, Wolter; van Haren, R.

    2007-01-01

    Purpose – The aim of the research described was to identify reasons for differences between discourses on electronic voting in the UK and The Netherlands, from a qualitative point of view. Design/methodology/approach – From both countries, eight e-voting experts were interviewed on their

  5. Underneath the culture of consensus: Transparency, credible commitments and voting in the Council of Ministers

    DEFF Research Database (Denmark)

    Finke, Daniel

    2017-01-01

    The Council of Ministers rarely records negative individual votes, much less rejected proposals. The literature explains this high level of support by the Council’s ’culture of consensus’ and the few negative votes are explained as signalling to the domestic audience. We introduce an alternative...

  6. Functional Strength Training and Movement Performance Therapy for Upper Limb Recovery Early Poststroke—Efficacy, Neural Correlates, Predictive Markers, and Cost-Effectiveness: FAST-INdiCATE Trial

    Directory of Open Access Journals (Sweden)

    Susan M. Hunter

    2018-01-01

    Full Text Available BackgroundVariation in physiological deficits underlying upper limb paresis after stroke could influence how people recover and to which physical therapy they best respond.ObjectivesTo determine whether functional strength training (FST improves upper limb recovery more than movement performance therapy (MPT. To identify: (a neural correlates of response and (b whether pre-intervention neural characteristics predict response.DesignExplanatory investigations within a randomised, controlled, observer-blind, and multicentre trial. Randomisation was computer-generated and concealed by an independent facility until baseline measures were completed. Primary time point was outcome, after the 6-week intervention phase. Follow-up was at 6 months after stroke.ParticipantsWith some voluntary muscle contraction in the paretic upper limb, not full dexterity, when recruited up to 60 days after an anterior cerebral circulation territory stroke.InterventionsConventional physical therapy (CPT plus either MPT or FST for up to 90 min-a-day, 5 days-a-week for 6 weeks. FST was “hands-off” progressive resistive exercise cemented into functional task training. MPT was “hands-on” sensory/facilitation techniques for smooth and accurate movement.OutcomesThe primary efficacy measure was the Action Research Arm Test (ARAT. Neural measures: fractional anisotropy (FA corpus callosum midline; asymmetry of corticospinal tracts FA; and resting motor threshold (RMT of motor-evoked potentials.AnalysisCovariance models tested ARAT change from baseline. At outcome: correlation coefficients assessed relationship between change in ARAT and neural measures; an interaction term assessed whether baseline neural characteristics predicted response.Results288 Participants had: mean age of 72.2 (SD 12.5 years and mean ARAT 25.5 (18.2. For 240 participants with ARAT at baseline and outcome the mean change was 9.70 (11.72 for FST + CPT and 7.90 (9.18 for MPT

  7. Periodic Discordance Between Vote Equality and Representational Equality in the United States

    Directory of Open Access Journals (Sweden)

    Sarah K. Cowan

    2015-08-01

    Full Text Available American democracy has two central values that are often in tension: vote equality, that each vote has equal influence, and representational equality, that each elected official represents equal numbers of people. The electoral standard of “one person, one vote” ensures representational equality, and that often ensures vote equality. This relationship fails, however, under certain demographic conditions, namely, when a large, non-enfranchised population resides unevenly across jurisdictions. Then, representational equality is preserved and vote equality is violated. Prior to women’s suffrage, for example, western states had relatively fewer women than the remainder of the country, contributing to gross vote inequality, though rectified through extension of the franchise. Given recent high rates of immigration to some states, I ask whether the two values are in tension. I find that they are, and quantify the electoral consequences of this disjuncture at 13 House seats in 2010.

  8. Affinity communities in United Nations voting: Implications for democracy, cooperation, and conflict

    Science.gov (United States)

    Pauls, Scott D.; Cranmer, Skyler J.

    2017-10-01

    A network oriented examination of the co-voting network of the United Nations (UN) provides powerful insights into the international alignment of states, as well as normatively important processes such as democracy, defensive cooperation, and armed conflict. Here, we investigate the UN co-voting network using the tools of community detection and inductively identify "affinity communities" in which states articulate similar policy preferences through their voting patterns. Analysis of these communities reveals that there is more information contained in UN voting and co-voting patterns than has previously been thought. Affinity communities have complex relationships with some of the most normatively important international outcomes: they reflect transitions to democracy, have a feedback loop with the formation of defensive alliances, and actively help states avoid armed conflict.

  9. A triangle voting algorithm based on double feature constraints for star sensors

    Science.gov (United States)

    Fan, Qiaoyun; Zhong, Xuyang

    2018-02-01

    A novel autonomous star identification algorithm is presented in this study. In the proposed algorithm, each sensor star constructs multi-triangle with its bright neighbor stars and obtains its candidates by triangle voting process, in which the triangle is considered as the basic voting element. In order to accelerate the speed of this algorithm and reduce the required memory for star database, feature extraction is carried out to reduce the dimension of triangles and each triangle is described by its base and height. During the identification period, the voting scheme based on double feature constraints is proposed to implement triangle voting. This scheme guarantees that only the catalog star satisfying two features can vote for the sensor star, which improves the robustness towards false stars. The simulation and real star image test demonstrate that compared with the other two algorithms, the proposed algorithm is more robust towards position noise, magnitude noise and false stars.

  10. A NOVEL APPROACH TO SUPPORT MAJORITY VOTING IN SPATIAL GROUP MCDM USING DENSITY INDUCED OWA OPERATOR FOR SEISMIC VULNERABILITY ASSESSMENT

    Directory of Open Access Journals (Sweden)

    M. Moradi

    2014-10-01

    Full Text Available Being one of the most frightening disasters, earthquakes frequently cause huge damages to buildings, facilities and human beings. Although the prediction of characteristics of an earthquake seems to be impossible, its loss and damage is predictable in advance. Seismic loss estimation models tend to evaluate the extent to which the urban areas are vulnerable to earthquakes. Many factors contribute to the vulnerability of urban areas against earthquakes including age and height of buildings, the quality of the materials, the density of population and the location of flammable facilities. Therefore, seismic vulnerability assessment is a multi-criteria problem. A number of multi criteria decision making models have been proposed based on a single expert. The main objective of this paper is to propose a model which facilitates group multi criteria decision making based on the concept of majority voting. The main idea of majority voting is providing a computational tool to measure the degree to which different experts support each other’s opinions and make a decision regarding this measure. The applicability of this model is examined in Tehran metropolitan area which is located in a seismically active region. The results indicate that neglecting the experts which get lower degrees of support from others enables the decision makers to avoid the extreme strategies. Moreover, a computational method is proposed to calculate the degree of optimism in the experts’ opinions.

  11. a Novel Approach to Support Majority Voting in Spatial Group Mcdm Using Density Induced Owa Operator for Seismic Vulnerability Assessment

    Science.gov (United States)

    Moradi, M.; Delavar, M. R.; Moshiri, B.; Khamespanah, F.

    2014-10-01

    Being one of the most frightening disasters, earthquakes frequently cause huge damages to buildings, facilities and human beings. Although the prediction of characteristics of an earthquake seems to be impossible, its loss and damage is predictable in advance. Seismic loss estimation models tend to evaluate the extent to which the urban areas are vulnerable to earthquakes. Many factors contribute to the vulnerability of urban areas against earthquakes including age and height of buildings, the quality of the materials, the density of population and the location of flammable facilities. Therefore, seismic vulnerability assessment is a multi-criteria problem. A number of multi criteria decision making models have been proposed based on a single expert. The main objective of this paper is to propose a model which facilitates group multi criteria decision making based on the concept of majority voting. The main idea of majority voting is providing a computational tool to measure the degree to which different experts support each other's opinions and make a decision regarding this measure. The applicability of this model is examined in Tehran metropolitan area which is located in a seismically active region. The results indicate that neglecting the experts which get lower degrees of support from others enables the decision makers to avoid the extreme strategies. Moreover, a computational method is proposed to calculate the degree of optimism in the experts' opinions.

  12. Strength and failure modes of ceramic multilayers

    DEFF Research Database (Denmark)

    Sørensen, Bent F.; Toftegaard, Helmuth Langmaack; Linderoth, Søren

    2012-01-01

    A model was developed for the prediction of the tensile strength of thin, symmetric 3-layer sandwich specimens. The model predictions rationalize the effect of heat-treatment temperature on the strength of sandwich specimens consisting of an YSZ (Yttria-Stabilized Zirconia) substrate coated with ...... and propagating into the substrate. These predictions are consistent with microstructural observations of the fracture surfaces. A good agreement was found between the measured strength values and model predictions. © 2012 Elsevier Ltd. All rights reserved....

  13. Democratic accountability and the votes for nuclear energy

    Energy Technology Data Exchange (ETDEWEB)

    Bradbury, F

    1980-10-01

    Political aspects of nuclear energy figured in United Kingdom elections during the 1970s as the issue of risks aroused popular interest. The failure of such a complex issue to make an impact at the polls reflects certain electoral inadequacies in the democratic process in that too much time elapsed between opportunities for citizens to express their will and this resulted in pressure groups replacing referenda. Nuclear issues illustrate the dilemma of risk assignment and risk assignment when the perception of risks is not balanced by clear information about the benefits. True democratic accountability would allow citizens to vote directly on each major issue rather than periodically electing a representative with a package of unrelated positions. 7 references. (DCK)

  14. Gap filling of 3-D microvascular networks by tensor voting.

    Science.gov (United States)

    Risser, L; Plouraboue, F; Descombes, X

    2008-05-01

    We present a new algorithm which merges discontinuities in 3-D images of tubular structures presenting undesirable gaps. The application of the proposed method is mainly associated to large 3-D images of microvascular networks. In order to recover the real network topology, we need to fill the gaps between the closest discontinuous vessels. The algorithm presented in this paper aims at achieving this goal. This algorithm is based on the skeletonization of the segmented network followed by a tensor voting method. It permits to merge the most common kinds of discontinuities found in microvascular networks. It is robust, easy to use, and relatively fast. The microvascular network images were obtained using synchrotron tomography imaging at the European Synchrotron Radiation Facility. These images exhibit samples of intracortical networks. Representative results are illustrated.

  15. How campaigns enhance European issues voting during European Parliament elections

    DEFF Research Database (Denmark)

    Beach, Derek; Møller Hansen, Kasper; Larsen, Martin Vinæs

    2017-01-01

    Based on findings from the literature on campaign effects on the one hand, and the literature on European Parliament elections on the other, we propose a model of European Parliamentary elections in which the campaign shift the calculus of electoral support, making differences in national political...... allegiances less important and attitudes about the European project more important by informing voters of and getting them interested in European politics. In effect, we argue that the political campaign leading up to the election makes European Parliament elections less second-order. While previous studies...... have demonstrated that EU attitudes can matter for voting behavior in European Parliament elections, existing research has drawn on post-election surveys that do not enable us to capture campaign effects. Our contribution is to assess the impact of a campaign by utilizing a rolling cross sectional...

  16. Toward protocols for quantum-ensured privacy and secure voting

    International Nuclear Information System (INIS)

    Bonanome, Marianna; Buzek, Vladimir; Ziman, Mario; Hillery, Mark

    2011-01-01

    We present a number of schemes that use quantum mechanics to preserve privacy, in particular, we show that entangled quantum states can be useful in maintaining privacy. We further develop our original proposal [see M. Hillery, M. Ziman, V. Buzek, and M. Bielikova, Phys. Lett. A 349, 75 (2006)] for protecting privacy in voting, and examine its security under certain types of attacks, in particular dishonest voters and external eavesdroppers. A variation of these quantum-based schemes can be used for multiparty function evaluation. We consider functions corresponding to group multiplication of N group elements, with each element chosen by a different party. We show how quantum mechanics can be useful in maintaining the privacy of the choices group elements.

  17. Toward protocols for quantum-ensured privacy and secure voting

    Energy Technology Data Exchange (ETDEWEB)

    Bonanome, Marianna [Department of Applied Mathematics and Computer Science, New York City College of Technology, 300 Jay Street, Brooklyn, New York 11201 (United States); Buzek, Vladimir; Ziman, Mario [Research Center for Quantum Information, Slovak Academy of Sciences, Dubravska cesta 9, 845 11 Bratislava (Slovakia); Faculty of Informatics, Masaryk University, Botanicka 68a, 602 00 Brno (Czech Republic); Hillery, Mark [Department of Physics, Hunter College of CUNY, 695 Park Avenue, New York, New York 10021 (United States)

    2011-08-15

    We present a number of schemes that use quantum mechanics to preserve privacy, in particular, we show that entangled quantum states can be useful in maintaining privacy. We further develop our original proposal [see M. Hillery, M. Ziman, V. Buzek, and M. Bielikova, Phys. Lett. A 349, 75 (2006)] for protecting privacy in voting, and examine its security under certain types of attacks, in particular dishonest voters and external eavesdroppers. A variation of these quantum-based schemes can be used for multiparty function evaluation. We consider functions corresponding to group multiplication of N group elements, with each element chosen by a different party. We show how quantum mechanics can be useful in maintaining the privacy of the choices group elements.

  18. Exercise, character strengths, well-being, and learning climate in the prediction of performance over a 6-month period at a call center.

    Science.gov (United States)

    Moradi, Saleh; Nima, Ali A; Rapp Ricciardi, Max; Archer, Trevor; Garcia, Danilo

    2014-01-01

    Performance monitoring might have an adverse influence on call center agents' well-being. We investigate how performance, over a 6-month period, is related to agents' perceptions of their learning climate, character strengths, well-being (subjective and psychological), and physical activity. Agents (N = 135) self-reported perception of the learning climate (Learning Climate Questionnaire), character strengths (Values In Action Inventory Short Version), well-being (Positive Affect, Negative Affect Schedule, Satisfaction With Life Scale, Psychological Well-Being Scales Short Version), and how often/intensively they engaged in physical activity. Performance, "time on the phone," was monitored for 6 consecutive months by the same system handling the calls. Performance was positively related to having opportunities to develop, the character strengths clusters of Wisdom and Knowledge (e.g., curiosity for learning, perspective) and Temperance (e.g., having self-control, being prudent, humble, and modest), and exercise frequency. Performance was negatively related to the sense of autonomy and responsibility, contentedness, the character strengths clusters of Humanity and Love (e.g., helping others, cooperation) and Justice (e.g., affiliation, fairness, leadership), positive affect, life satisfaction and exercise Intensity. Call centers may need to create opportunities to develop to increase agents' performance and focus on individual differences in the recruitment and selection of agents to prevent future shortcomings or worker dissatisfaction. Nevertheless, performance measurement in call centers may need to include other aspects that are more attuned with different character strengths. After all, allowing individuals to put their strengths at work should empower the individual and at the end the organization itself. Finally, physical activity enhancement programs might offer considerable positive work outcomes.

  19. Exercise, Character Strengths, Well-Being and Learning Climate in the Prediction of Performance over a Six-Month Period at a Call Center

    Directory of Open Access Journals (Sweden)

    Saleh eMoradi

    2014-06-01

    Full Text Available Background: Performance monitoring might have an adverse influence on call center agents’ well-being. We investigate how performance, over a six-month period, is related to agents’ perceptions of their learning climate, character strengths, well-being (subjective and psychological, and physical activity.Method: Agents (N = 135 self-reported perception of the learning climate (Learning Climate Questionnaire, character strengths (Values In Action Inventory Short Version, well-being (Positive Affect, Negative Affect Schedule, Satisfaction With Life Scale, Psychological Well-Being Scales Short Version, and how often/intensively they engaged in physical activity. Performance, time on the phone, was monitored for six consecutive months by the same system handling the calls. Results: Performance was positively related to having opportunities to develop, the character strengths clusters of Wisdom and Knowledge (e.g., curiosity for learning, perspective and Temperance (e.g., having self-control, being prudent, humble, and modest, and exercise frequency. Performance was negatively related to the sense of autonomy and responsibility, contentedness, the character strengths clusters of Humanity and Love (e.g., helping others, cooperation and Justice (e.g., affiliation, fairness, leadership, positive affect, life satisfaction and exercise Intensity.Conclusion: Call centers may need to create opportunities to develop to increase agents’ performance and focus on individual differences in the recruitment and selection of agents to prevent future shortcomings or worker dissatisfaction. Nevertheless, performance measurement in call centers may need to include other aspects that are more attuned with different character strengths. After all, allowing individuals to put their strengths at work should empower the individual and at the end the organization itself. Finally, physical activity enhancement programs might offer considerable positive work outcomes.

  20. Diverging Life Expectancies and Voting Patterns in the 2016 US Presidential Election

    Science.gov (United States)

    2017-01-01

    Objectives. To assess whether voting patterns in the 2016 US presidential election were correlated with long-run trends in county life expectancy. Methods. I examined county-level voting data from the 2008 and 2016 presidential elections and assessed Donald Trump’s share of the 2016 vote, change in the Republican vote share between 2008 and 2016, and changes in absolute numbers of Democratic and Republican votes. County-level estimates of life expectancy at birth were obtained for 1980 and 2014 from the Institute for Health Metrics and Evaluation. Results. Changes in county life expectancy from 1980 to 2014 were strongly negatively associated with Trump’s vote share, with less support for Trump in counties experiencing greater survival gains. Counties in which life expectancy stagnated or declined saw a 10-percentage-point increase in the Republican vote share between 2008 and 2016. Conclusions. Residents of counties left out from broader life expectancy gains abandoned the Democratic Party in the 2016 presidential election. Since coming to power, the Trump administration has proposed cuts to health insurance for the poor, social programs, health research, and environmental and worker protections, which are key determinants of population health. Health gaps likely will continue to widen without significant public investment in population health. PMID:28817322

  1. Applying voting theory in natural resource management: a case of multiple-criteria group decision support.

    Science.gov (United States)

    Laukkanen, Sanna; Kangas, Annika; Kangas, Jyrki

    2002-02-01

    Voting theory has a lot in common with utility theory, and especially with group decision-making. An expected-utility-maximising strategy exists in voting situations, as well as in decision-making situations. Therefore, it is natural to utilise the achievements of voting theory also in group decision-making. Most voting systems are based on a single criterion or holistic preference information on decision alternatives. However, a voting scheme called multicriteria approval is specially developed for decision-making situations with multiple criteria. This study considers the voting theory from the group decision support point of view and compares it with some other methods applied to similar purposes in natural resource management. A case study is presented, where the approval voting approach is introduced to natural resources planning and tested in a forestry group decision-making process. Applying multicriteria approval method was found to be a potential approach for handling some challenges typical for forestry group decision support. These challenges include (i) utilising ordinal information in the evaluation of decision alternatives, (ii) being readily understandable for and treating equally all the stakeholders in possession of different levels of knowledge on the subject considered, (iii) fast and cheap acquisition of preference information from several stakeholders, and (iv) dealing with multiple criteria.

  2. Diverging Life Expectancies and Voting Patterns in the 2016 US Presidential Election.

    Science.gov (United States)

    Bor, Jacob

    2017-10-01

    To assess whether voting patterns in the 2016 US presidential election were correlated with long-run trends in county life expectancy. I examined county-level voting data from the 2008 and 2016 presidential elections and assessed Donald Trump's share of the 2016 vote, change in the Republican vote share between 2008 and 2016, and changes in absolute numbers of Democratic and Republican votes. County-level estimates of life expectancy at birth were obtained for 1980 and 2014 from the Institute for Health Metrics and Evaluation. Changes in county life expectancy from 1980 to 2014 were strongly negatively associated with Trump's vote share, with less support for Trump in counties experiencing greater survival gains. Counties in which life expectancy stagnated or declined saw a 10-percentage-point increase in the Republican vote share between 2008 and 2016. Residents of counties left out from broader life expectancy gains abandoned the Democratic Party in the 2016 presidential election. Since coming to power, the Trump administration has proposed cuts to health insurance for the poor, social programs, health research, and environmental and worker protections, which are key determinants of population health. Health gaps likely will continue to widen without significant public investment in population health.

  3. Mental illness and the right to vote: a review of legislation across the world.

    Science.gov (United States)

    Bhugra, Dinesh; Pathare, Soumitra; Gosavi, Chetna; Ventriglio, Antonio; Torales, Julio; Castaldelli-Maia, João; Tolentino, Edgardo Juan L; Ng, Roger

    2016-08-01

    The right to vote is an important right signifying freedom of thought as well as full citizenship in any setting. Right to vote is enshrined and protected by international human rights treaties. The right of 'everyone' to take part in the political process and elections is based on universal and equal suffrage. Although these International Conventions have been ratified by the large majority of United Nations Member States, their application across the globe is by no means universal. This study sets out to examine the domestic laws of UN Member States in order to explore whether individuals with mental health problems have the right to vote in actuality and, thu,s can participate in political life. Through various searches, electoral laws and Constitutions of 193 Member States of the United Nations were studied. The authors were able to find legislation and/or Constitutional provisions in 167 of the 193 Member States. Twenty-one countries (11%) only placed no restrictions on the right to vote by persons with mental health problems. Over one third of the countries (36%) deny all persons with any mental health problems a right to vote without any qualifier. Some of these discriminatory attitudes are reflected in the multiplicity of terms used to describe persons with mental health problems. Another 21 countries (11%) denied the right to vote to detained persons; of these, nine Member States specifically denied the right to vote to persons who were detained under the mental health law, while the remainder denied the right to vote to all those who were interdicted or judicially interdicted. It would appear that in many countries the denial of voting rights is attributed to a lack of ability to consent by the individuals with mental illness. Further exploration of explanation is required to understand these variations, which exist in spite of international treaties.

  4. County community health associations of net voting shift in the 2016 U.S. presidential election.

    Science.gov (United States)

    Wasfy, Jason H; Stewart, Charles; Bhambhani, Vijeta

    2017-01-01

    In the U.S. presidential election of 2016, substantial shift in voting patterns occurred relative to previous elections. Although this shift has been associated with both education and race, the extent to which this shift was related to public health status is unclear. To determine the extent to which county community health was associated with changes in voting between the presidential elections of 2016 and 2012. Ecological study with principal component analysis (PCA) using principal axis method to extract the components, then generalized linear regression. General community. All counties in the United States. Physically unhealthy days, mentally unhealthy days, percent food insecure, teen birth rate, primary care physician visit rate, age-adjusted mortality rate, violent crime rate, average health care costs, percent diabetic, and percent overweight or obese. The percentage of Donald Trump votes in 2016 minus percentage of Mitt Romney votes in 2012 ("net voting shift"). Complete public health data was available for 3,009 counties which were included in the analysis. The mean net voting shift was 5.4% (+/- 5.8%). Of these 3,009 counties, 2,641 (87.8%) had positive net voting shift (shifted towards Trump) and 368 counties (12.2%) had negative net voting shift (shifted away from Trump). The first principal component ("unhealthy score") accounted for 68% of the total variance in the data. The unhealthy score included all health variables except primary care physician rate, violent crime rate, and health care costs. The mean unhealthy score for counties was 0.39 (SD 0.16). Higher normalized unhealthy score was associated with positive net voting shift (22.1% shift per unit unhealthy, p Donald Trump in 2016 relative to Mitt Romney in 2012 and measures of poor public health. Although these results do not demonstrate causality, these results suggest a possible role for health status in political choices.

  5. Strength of Fibrous Composites

    CERN Document Server

    Huang, Zheng-Ming

    2012-01-01

    "Strength of Fibrous Composites" addresses evaluation of the strength of a fibrous composite by using its constituent material properties and its fiber architecture parameters. Having gone through the book, a reader is able to predict the progressive failure behavior and ultimate strength of a fibrous laminate subjected to an arbitrary load condition in terms of the constituent fiber and matrix properties, as well as fiber geometric parameters. The book is useful to researchers and engineers working on design and analysis for composite materials. Dr. Zheng-Ming Huang is a professor at the School of Aerospace Engineering & Applied Mechanics, Tongji University, China. Mr. Ye-Xin Zhou is a PhD candidate at the Department of Mechanical Engineering, the University of Hong Kong, China.

  6. Political Culture versus Socioeconomic Approaches to Predicting Police Strength in U.S. Police Agencies: Results of a Longitudinal Study, 1993 to 2003

    Science.gov (United States)

    Zhao, Jihong; Ren, Ling; Lovrich, Nicholas P.

    2012-01-01

    A variety of theories have emerged that offer plausible explanations, one from the political institutional perspective and others from sociological perspective. There has been renewed interest in the effect of local political structure on police strength in the policing literature. The purpose of this study, therefore, is to assess the two main…

  7. Workplace Characteristics and Working Class Vote for the Old and New Right

    DEFF Research Database (Denmark)

    Arndt, Christoph; Rennwald, Line

    2017-01-01

    This article focuses on the role of plant size for working class vote. We argue that workplace size does matter for political behaviour. Workers in smaller plants are less unionized and therefore base their voting decisions more strongly on their cultural attitudes, which undermine the support...... for social democratic parties. Using data from the European Social Survey (2002–2010), we find that workers in small plants have more right-wing attitudes and, consequently, vote for new and old right parties, contrarily to workers in larger plants. Our research points towards important structural...... explanations of working class support for the right and its cross-national differences....

  8. A New Proxy Electronic Voting Scheme Achieved by Six-Particle Entangled States

    Science.gov (United States)

    Cao, Hai-Jing; Ding, Li-Yuan; Jiang, Xiu-Li; Li, Peng-Fei

    2018-03-01

    In this paper, we use quantum proxy signature to construct a new secret electronic voting scheme. In our scheme, six particles entangled states function as quantum channels. The voter Alice, the Vote Management Center Bob, the scrutineer Charlie only perform two particles measurements on the Bell bases to realize the electronic voting process. So the scheme reduces the technical difficulty and increases operation efficiency. We use quantum key distribution and one-time pad to guarantee its unconditional security. The significant advantage of our scheme is that transmitted information capacity is twice as much as the capacity of other schemes.

  9. LOCAL POLITICAL DYNAMICS IN THE GENERAL ELECTION DIRECTLY CONDUCTED TO VOTE FOR DISTRICT HEADS (PILKADA IN BADUNG REGENCY IN 2005

    Directory of Open Access Journals (Sweden)

    Anak Agung Gede Oka Wisnumurti

    2012-11-01

    Full Text Available The general election directly conducted to vote for the regent and vice regent(Pemilihan Kepala Daerah, abbreviated to Pilkada by the people in Badung Regency in2005 was the first one. The people’s direct involvement in the local political life movedhighly dynamically. The struggle for power by various strengths affected variousdimensions of the people’s lives; therefore, it is interesting to investigate the localpolitical dynamics in the Pilkada directly conducted in Badung Regency in 2005 in theperspective of cultural studies. There are three problems formulated in this study. Theyare (1 what was the dynamics of the Pilkada directly conducted in Badung Regency in2005 like?; (2 how the relation of strengths affected the local political dynamics in thePilkada directly conducted in Badung Regency in 2005?; (3 what were the implicationsand meanings of the local political dynamics of the Pilkada directly conducted in BadungRegency in 2005?The results of the study show that fluctuative changes took place continuouslywith regard to the form and functions of societal structure. Culturally, the people’sideology changed from being mono centric into being multi centric. The relation ofstrengths became segmented into three main strengths forming a new formation ofstrength referred to as trisula. This led to an institutional configuration, differentiation ofpower and locality sedimentation, and provided meanings to competition and tolerance,emancipatory, political comodification, adaptive leadership and local democratic culturalstrengthening.

  10. 3D statistical shape models incorporating 3D random forest regression voting for robust CT liver segmentation

    Science.gov (United States)

    Norajitra, Tobias; Meinzer, Hans-Peter; Maier-Hein, Klaus H.

    2015-03-01

    During image segmentation, 3D Statistical Shape Models (SSM) usually conduct a limited search for target landmarks within one-dimensional search profiles perpendicular to the model surface. In addition, landmark appearance is modeled only locally based on linear profiles and weak learners, altogether leading to segmentation errors from landmark ambiguities and limited search coverage. We present a new method for 3D SSM segmentation based on 3D Random Forest Regression Voting. For each surface landmark, a Random Regression Forest is trained that learns a 3D spatial displacement function between the according reference landmark and a set of surrounding sample points, based on an infinite set of non-local randomized 3D Haar-like features. Landmark search is then conducted omni-directionally within 3D search spaces, where voxelwise forest predictions on landmark position contribute to a common voting map which reflects the overall position estimate. Segmentation experiments were conducted on a set of 45 CT volumes of the human liver, of which 40 images were randomly chosen for training and 5 for testing. Without parameter optimization, using a simple candidate selection and a single resolution approach, excellent results were achieved, while faster convergence and better concavity segmentation were observed, altogether underlining the potential of our approach in terms of increased robustness from distinct landmark detection and from better search coverage.

  11. Imagining class : A study into material social class position, subjective identification, and voting behavior across Europe

    NARCIS (Netherlands)

    D'Hooge, L.; Achterberg, P.H.J.; Reeskens, T.

    2018-01-01

    The traditional approach to class voting has largely ignored the question whether material class positions coincide with subjective class identification. Following Sosnaud et al. (2013), this study evaluates party preferences when Europeans’ material and subjective social class do not coincide.

  12. A Voting TOPSIS Approach for Determining the Priorities of Areas Damaged in Disasters

    Directory of Open Access Journals (Sweden)

    Yanjin He

    2018-05-01

    Full Text Available In this paper, we investigate the priority determination problem for areas that have been damaged during disasters. Relief distribution should be planned while considering the priorities of the damaged areas. To determine the priorities of the damaged areas, we first define four criteria and then propose a voting TOPSIS (technique for order of preference by similarity to ideal solution that utilizes the fuzzy pair-wise comparison, data envelopment analysis, and TOPSIS. Since the voting TOPSIS is based on the voting results of multiple experts, it can be applied to urgent situations quickly, regardless of the consistency of comparison, the number of alternatives, and the number of participating experts. The proposed approach is validated using a real-world case, and this case analysis shows that the voting TOPSIS is viable.

  13. Addressing the ethical, legal, and social issues raised by voting by persons with dementia.

    Science.gov (United States)

    Karlawish, Jason H; Bonnie, Richard J; Appelbaum, Paul S; Lyketsos, Constantine; James, Bryan; Knopman, David; Patusky, Christopher; Kane, Rosalie A; Karlan, Pamela S

    2004-09-15

    This article addresses an emerging policy problem in the United States participation in the electoral process by citizens with dementia. At present, health care professionals, family caregivers, and long-term care staff lack adequate guidance to decide whether individuals with dementia should be precluded from or assisted in casting a ballot. Voting by persons with dementia raises a series of important questions about the autonomy of individuals with dementia, the integrity of the electoral process, and the prevention of fraud. Three subsidiary issues warrant special attention: development of a method to assess capacity to vote; identification of appropriate kinds of assistance to enable persons with cognitive impairment to vote; and formulation of uniform and workable policies for voting in long-term care settings. In some instances, extrapolation from existing policies and research permits reasonable recommendations to guide policy and practice. However, in other instances, additional research is necessary.

  14. 75 FR 27743 - Publication of State Plan Pursuant to the Help America Vote Act

    Science.gov (United States)

    2010-05-18

    ... ELECTION ASSISTANCE COMMISSION Publication of State Plan Pursuant to the Help America Vote Act... previously submitted by New Mexico. DATES: This notice is effective upon publication in the Federal Register... 27744

  15. Iterative Tensor Voting for Perceptual Grouping of Ill-Defined Curvilinear Structures: Application to Adherens Junctions

    Science.gov (United States)

    Loss, Leandro A.; Bebis, George; Parvin, Bahram

    2012-01-01

    In this paper, a novel approach is proposed for perceptual grouping and localization of ill-defined curvilinear structures. Our approach builds upon the tensor voting and the iterative voting frameworks. Its efficacy lies on iterative refinements of curvilinear structures by gradually shifting from an exploratory to an exploitative mode. Such a mode shifting is achieved by reducing the aperture of the tensor voting fields, which is shown to improve curve grouping and inference by enhancing the concentration of the votes over promising, salient structures. The proposed technique is applied to delineation of adherens junctions imaged through fluorescence microscopy. This class of membrane-bound macromolecules maintains tissue structural integrity and cell-cell interactions. Visually, it exhibits fibrous patterns that may be diffused, punctate and frequently perceptual. Besides the application to real data, the proposed method is compared to prior methods on synthetic and annotated real data, showing high precision rates. PMID:21421432

  16. Biases in the effects of family background characteristics on voting preference: The Dutch case

    NARCIS (Netherlands)

    Vries, J. de; Graaf, N.D. de; Eisinga, R.N.

    2009-01-01

    This article examines whether intergenerational transmission of party preference is biased by retrospective and other-report measurement of family background characteristics [In our model the dependent variable is voting preference, while one of our explanatory variables is father's party

  17. Analyzing the determinants of the voting behavior using a genetic algorithm

    Directory of Open Access Journals (Sweden)

    Marcos Vizcaíno-González

    2016-09-01

    Full Text Available Using data about votes emitted by funds in meetings held by United States banks from 2003 to 2013, we apply a genetic algorithm to a set of financial variables in order to detect the determinants of the vote direction. Our findings indicate that there are three main explanatory factors: the market value of the firm, the shareholder activism measured as the total number of funds voting, and the temporal context, which reflects the influence of recent critical events affecting the banking industry, including bankruptcies, reputational failures, and mergers and acquisitions. As a result, considering that voting behavior has been empirically linked to reputational harms, these findings can be considered as a useful insight about the keys that should be taken into account in order to achieve an effective reputational risk management strategy.

  18. The strategic effect of the plurality vote at the district level

    DEFF Research Database (Denmark)

    Bochsler, Daniel

    2017-01-01

    The plurality vote (first-past-the-post) is one of the most restrictive electoral systems used for parliamentary elections. Empirically, its deterring effect on small political parties has been widely studied at the national level, while theoretical arguments highlight its strategic effect...... at the district level. This paper argues that the strategic effect, reducing the votes expressed for minor parties in plurality vote systems, is uneven across districts. The strongest strategic effect is expected in very competitive constituencies, where the two strongest candidates are in close competition...... with each other. The paper estimates the effect empirically, based on electoral results for minor political parties from six parliamentary democracies using the plurality vote. The methodology proposed in this paper allows me to separate sociological or geographical factors from strategic factors affecting...

  19. 75 FR 57807 - Advisory Committee on Organ Transplantation; Request for Nominations for Voting Members

    Science.gov (United States)

    2010-09-22

    ... consists of up to 25 members, who are Special Government Employees, and 5 ex-officio, non-voting members... for appropriately qualified female, minority, or disabled candidates. Dated: September 15, 2010...

  20. 78 FR 49276 - Advisory Committee on Organ Transplantation; Request for Nominations for Voting Members

    Science.gov (United States)

    2013-08-13

    ... 25 members, who are Special Government Employees, and 5 ex-officio, non-voting members. Members and... committees; and therefore, extends particular encouragement to nominations for appropriately qualified female...

  1. 76 FR 1559 - Guidelines for the Use of Electronic Voting Systems in Union Officer Elections

    Science.gov (United States)

    2011-01-11

    ... Federal Voting Assistance Program (FVAP) and the Department of Defense's Business Transformation Agency....regulations.gov , and during normal business hours at the above address. FOR FURTHER INFORMATION CONTACT...

  2. Workplace characteristics and working class vote for the old and new right

    DEFF Research Database (Denmark)

    Arndt, Christoph; Rennwald, Line

    This paper focuses on the structural determinants of working class vote for new right and old right parties. We argue that the size of the company does matter in explaining the support of workers for these parties. In small-sized companies, there is greater proximity with the management than...... of old and new right parties - is strengthened. These arguments are tested through a set of multilevel models analysing the determinants of working class vote for new right parties in 16 European countries. Using data from the European Social Survey (2002-2010) and information on company size...... at the individual level, we find that workers in small companies are more right-wing and, consequently, vote for new and old right parties, whereas workers in larger companies are more likely to vote for social democrats indicating a continuation of the traditional working class milieu. This effect can be explained...

  3. Predicting Motor Skills from Strengths and Difficulties Questionnaire Scores, Language Ability, and Other Features of New Zealand Children Entering Primary School

    Science.gov (United States)

    Sargisson, Rebecca J.; Powell, Cheniel; Stanley, Peter; de Candole, Rosalind

    2014-01-01

    The motor and language skills, emotional and behavioural problems of 245 children were measured at school entry. Fine motor scores were significantly predicted by hyperactivity, phonetic awareness, prosocial behaviour, and the presence of medical problems. Gross motor scores were significantly predicted by the presence of medical problems. The…

  4. Attitude Strength.

    Science.gov (United States)

    Howe, Lauren C; Krosnick, Jon A

    2017-01-03

    Attitude strength has been the focus of a huge volume of research in psychology and related sciences for decades. The insights offered by this literature have tremendous value for understanding attitude functioning and structure and for the effective application of the attitude concept in applied settings. This is the first Annual Review of Psychology article on the topic, and it offers a review of theory and evidence regarding one of the most researched strength-related attitude features: attitude importance. Personal importance is attached to an attitude when the attitude is perceived to be relevant to self-interest, social identification with reference groups or reference individuals, and values. Attaching personal importance to an attitude causes crystallizing of attitudes (via enhanced resistance to change), effortful gathering and processing of relevant information, accumulation of a large store of well-organized relevant information in long-term memory, enhanced attitude extremity and accessibility, enhanced attitude impact on the regulation of interpersonal attraction, energizing of emotional reactions, and enhanced impact of attitudes on behavioral intentions and action. Thus, important attitudes are real and consequential psychological forces, and their study offers opportunities for addressing behavioral change.

  5. County community health associations of net voting shift in the 2016 U.S. presidential election.

    Directory of Open Access Journals (Sweden)

    Jason H Wasfy

    Full Text Available In the U.S. presidential election of 2016, substantial shift in voting patterns occurred relative to previous elections. Although this shift has been associated with both education and race, the extent to which this shift was related to public health status is unclear.To determine the extent to which county community health was associated with changes in voting between the presidential elections of 2016 and 2012.Ecological study with principal component analysis (PCA using principal axis method to extract the components, then generalized linear regression.General community.All counties in the United States.Physically unhealthy days, mentally unhealthy days, percent food insecure, teen birth rate, primary care physician visit rate, age-adjusted mortality rate, violent crime rate, average health care costs, percent diabetic, and percent overweight or obese.The percentage of Donald Trump votes in 2016 minus percentage of Mitt Romney votes in 2012 ("net voting shift".Complete public health data was available for 3,009 counties which were included in the analysis. The mean net voting shift was 5.4% (+/- 5.8%. Of these 3,009 counties, 2,641 (87.8% had positive net voting shift (shifted towards Trump and 368 counties (12.2% had negative net voting shift (shifted away from Trump. The first principal component ("unhealthy score" accounted for 68% of the total variance in the data. The unhealthy score included all health variables except primary care physician rate, violent crime rate, and health care costs. The mean unhealthy score for counties was 0.39 (SD 0.16. Higher normalized unhealthy score was associated with positive net voting shift (22.1% shift per unit unhealthy, p < 0.0001. This association was stronger in states that switched Electoral College votes from 2012 to 2016 than in other states (5.9% per unit unhealthy, p <0.0001.Substantial association exists between a shift toward voting for Donald Trump in 2016 relative to Mitt Romney in 2012

  6. A Closed-Form Solution to Tensor Voting: Theory and Applications

    OpenAIRE

    Wu, Tai-Pang; Yeung, Sai-Kit; Jia, Jiaya; Tang, Chi-Keung; Medioni, Gerard

    2016-01-01

    We prove a closed-form solution to tensor voting (CFTV): given a point set in any dimensions, our closed-form solution provides an exact, continuous and efficient algorithm for computing a structure-aware tensor that simultaneously achieves salient structure detection and outlier attenuation. Using CFTV, we prove the convergence of tensor voting on a Markov random field (MRF), thus termed as MRFTV, where the structure-aware tensor at each input site reaches a stationary state upon convergence...

  7. Comments on "A closed-form solution to Tensor voting: theory and applications"

    OpenAIRE

    Maggiori, Emmanuel; Lotito, Pablo Andres; Manterola, Hugo Luis; del Fresno, Mariana

    2017-01-01

    We comment on a paper that describes a closed-form formulation to Tensor Voting, a technique to perceptually group clouds of points, usually applied to infer features in images. The authors proved an analytic solution to the technique, a highly relevant contribution considering that the original formulation required numerical integration, a time-consuming task. Their work constitutes the first closed-form expression for the Tensor Voting framework. In this work we first observe that the propo...

  8. Using Instant Messaging Systems as a Platform for Electronic Voting

    Science.gov (United States)

    Meletiadou, Anastasia; Grimm, Rüdiger

    Many Instant Messaging (IM) systems like Skype or Spark offer ex tended services such as file sharing, VoIP, or a shared whiteboard. As the name suggests, IM applications are predominantly used for spontaneous text-based communication for private or business purposes. In this paper we explore their potential to serve as platforms for secure collaborative applications like electronic contract negotiation, e-payment or electronic voting. Such applications have to deal with challenges like time constraints (“instant” com munication is desired), integration of media channels and the absence of one uni fying “sphere of control” covering all participants. In this paper, we address these challenges by discussing one particular secure collaborative application: secure decision processes for small groups. We provide the following contribu tions: (1) we define three varying scenarios and corresponding security require ments (2) we present an IM-based architecture implementing these scenarios, in cluding a Video-based authentication mechanism, and (3) we discuss poten tial attack patterns.

  9. Speaker gender identification based on majority vote classifiers

    Science.gov (United States)

    Mezghani, Eya; Charfeddine, Maha; Nicolas, Henri; Ben Amar, Chokri

    2017-03-01

    Speaker gender identification is considered among the most important tools in several multimedia applications namely in automatic speech recognition, interactive voice response systems and audio browsing systems. Gender identification systems performance is closely linked to the selected feature set and the employed classification model. Typical techniques are based on selecting the best performing classification method or searching optimum tuning of one classifier parameters through experimentation. In this paper, we consider a relevant and rich set of features involving pitch, MFCCs as well as other temporal and frequency-domain descriptors. Five classification models including decision tree, discriminant analysis, nave Bayes, support vector machine and k-nearest neighbor was experimented. The three best perming classifiers among the five ones will contribute by majority voting between their scores. Experimentations were performed on three different datasets spoken in three languages: English, German and Arabic in order to validate language independency of the proposed scheme. Results confirm that the presented system has reached a satisfying accuracy rate and promising classification performance thanks to the discriminating abilities and diversity of the used features combined with mid-level statistics.

  10. Robust estimation of adaptive tensors of curvature by tensor voting.

    Science.gov (United States)

    Tong, Wai-Shun; Tang, Chi-Keung

    2005-03-01

    Although curvature estimation from a given mesh or regularly sampled point set is a well-studied problem, it is still challenging when the input consists of a cloud of unstructured points corrupted by misalignment error and outlier noise. Such input is ubiquitous in computer vision. In this paper, we propose a three-pass tensor voting algorithm to robustly estimate curvature tensors, from which accurate principal curvatures and directions can be calculated. Our quantitative estimation is an improvement over the previous two-pass algorithm, where only qualitative curvature estimation (sign of Gaussian curvature) is performed. To overcome misalignment errors, our improved method automatically corrects input point locations at subvoxel precision, which also rejects outliers that are uncorrectable. To adapt to different scales locally, we define the RadiusHit of a curvature tensor to quantify estimation accuracy and applicability. Our curvature estimation algorithm has been proven with detailed quantitative experiments, performing better in a variety of standard error metrics (percentage error in curvature magnitudes, absolute angle difference in curvature direction) in the presence of a large amount of misalignment noise.

  11. Robust membrane detection based on tensor voting for electron tomography.

    Science.gov (United States)

    Martinez-Sanchez, Antonio; Garcia, Inmaculada; Asano, Shoh; Lucic, Vladan; Fernandez, Jose-Jesus

    2014-04-01

    Electron tomography enables three-dimensional (3D) visualization and analysis of the subcellular architecture at a resolution of a few nanometers. Segmentation of structural components present in 3D images (tomograms) is often necessary for their interpretation. However, it is severely hampered by a number of factors that are inherent to electron tomography (e.g. noise, low contrast, distortion). Thus, there is a need for new and improved computational methods to facilitate this challenging task. In this work, we present a new method for membrane segmentation that is based on anisotropic propagation of the local structural information using the tensor voting algorithm. The local structure at each voxel is then refined according to the information received from other voxels. Because voxels belonging to the same membrane have coherent structural information, the underlying global structure is strengthened. In this way, local information is easily integrated at a global scale to yield segmented structures. This method performs well under low signal-to-noise ratio typically found in tomograms of vitrified samples under cryo-tomography conditions and can bridge gaps present on membranes. The performance of the method is demonstrated by applications to tomograms of different biological samples and by quantitative comparison with standard template matching procedure. Copyright © 2014 Elsevier Inc. All rights reserved.

  12. Stereo using monocular cues within the tensor voting framework.

    Science.gov (United States)

    Mordohai, Philippos; Medioni, Gérard

    2006-06-01

    We address the fundamental problem of matching in two static images. The remaining challenges are related to occlusion and lack of texture. Our approach addresses these difficulties within a perceptual organization framework, considering both binocular and monocular cues. Initially, matching candidates for all pixels are generated by a combination of matching techniques. The matching candidates are then embedded in disparity space, where perceptual organization takes place in 3D neighborhoods and, thus, does not suffer from problems associated with scanline or image neighborhoods. The assumption is that correct matches produce salient, coherent surfaces, while wrong ones do not. Matching candidates that are consistent with the surfaces are kept and grouped into smooth layers. Thus, we achieve surface segmentation based on geometric and not photometric properties. Surface overextensions, which are due to occlusion, can be corrected by removing matches whose projections are not consistent in color with their neighbors of the same surface in both images. Finally, the projections of the refined surfaces on both images are used to obtain disparity hypotheses for unmatched pixels. The final disparities are selected after a second tensor voting stage, during which information is propagated from more reliable pixels to less reliable ones. We present results on widely used benchmark stereo pairs.

  13. Inferring segmented dense motion layers using 5D tensor voting.

    Science.gov (United States)

    Min, Changki; Medioni, Gérard

    2008-09-01

    We present a novel local spatiotemporal approach to produce motion segmentation and dense temporal trajectories from an image sequence. A common representation of image sequences is a 3D spatiotemporal volume, (x,y,t), and its corresponding mathematical formalism is the fiber bundle. However, directly enforcing the spatiotemporal smoothness constraint is difficult in the fiber bundle representation. Thus, we convert the representation into a new 5D space (x,y,t,vx,vy) with an additional velocity domain, where each moving object produces a separate 3D smooth layer. The smoothness constraint is now enforced by extracting 3D layers using the tensor voting framework in a single step that solves both correspondence and segmentation simultaneously. Motion segmentation is achieved by identifying those layers, and the dense temporal trajectories are obtained by converting the layers back into the fiber bundle representation. We proceed to address three applications (tracking, mosaic, and 3D reconstruction) that are hard to solve from the video stream directly because of the segmentation and dense matching steps, but become straightforward with our framework. The approach does not make restrictive assumptions about the observed scene or camera motion and is therefore generally applicable. We present results on a number of data sets.

  14. World Wide Web voted most wonderful wonder by web-wide world

    CERN Multimedia

    2007-01-01

    The results are in, and the winner is...the World Wide Web! An online survey conducted by the CNN news group ranks the World Wide Web-invented at CERN--as the most wonderful of the seven modern wonders of the world. (See Bulletin No. 49/2006.) There is currently no speculation about whether they would have had the same results had they distributed the survey by post. The World Wide Web won with a whopping 50 per cent of the votes (3,665 votes). The runner up was CERN again, with 16 per cent of voters (1130 votes) casting the ballot in favour of the CERN particle accelerator. Stepping into place behind CERN and CERN is 'None of the Above' with 8 per cent of the votes (611 votes), followed by the development of Dubai (7%), the bionic arm (7%), China's Three Gorges Damn (5%), The Channel Tunnel (4%), and France's Millau viaduct (3%). Thanks to everyone from CERN who voted. You can view the results on http://edition.cnn.com/SPECIALS/2006/modern.wonders/

  15. Alternative majority-voting methods for real-time computing systems

    Science.gov (United States)

    Shin, Kang G.; Dolter, James W.

    1989-01-01

    Two techniques that provide a compromise between the high time overhead in maintaining synchronous voting and the difficulty of combining results in asynchronous voting are proposed. These techniques are specifically suited for real-time applications with a single-source/single-sink structure that need instantaneous error masking. They provide a compromise between a tightly synchronized system in which the synchronization overhead can be quite high, and an asynchronous system which lacks suitable algorithms for combining the output data. Both quorum-majority voting (QMV) and compare-majority voting (CMV) are most applicable to distributed real-time systems with single-source/single-sink tasks. All real-time systems eventually have to resolve their outputs into a single action at some stage. The development of the advanced information processing system (AIPS) and other similar systems serve to emphasize the importance of these techniques. Time bounds suggest that it is possible to reduce the overhead for quorum-majority voting to below that for synchronous voting. All the bounds assume that the computation phase is nonpreemptive and that there is no multitasking.

  16. Early follow-up data from seizure diaries can be used to predict subsequent seizures in same cohort by borrowing strength across participants

    Science.gov (United States)

    Hall, Charles B.; Lipton, Richard B.; Tennen, Howard; Haut, Sheryl R.

    2014-01-01

    Accurate prediction of seizures in persons with epilepsy offers opportunities for both precautionary measures and preemptive treatment. Previously identified predictors of seizures include patient-reported seizure anticipation, as well as stress, anxiety, and decreased sleep. In this study, we developed three models using 30 days of nightly seizure diary data in a cohort of 71 individuals with a history of uncontrolled seizures to predict subsequent seizures in the same cohort over a 30-day follow-up period. The best model combined the individual’s seizure history with that of the remainder of the cohort, resulting in 72% sensitivity for 80% specificity, and 0.83 area under the receiver operating characteristic curve. The possibility of clinically relevant prediction should be examined through electronic data capture and more specific and more frequent sampling, and with patient training to improve prediction. PMID:19138755

  17. Design and implementation of I2Vote--an interactive image-based voting system using windows mobile devices.

    Science.gov (United States)

    van Ooijen, P M A; Broekema, A; Oudkerk, M

    2011-08-01

    To develop, implement and test a novel audience response system (ARS) that allows image based interaction for radiology education. The ARS developed in this project is based on standard Personal Digital Assistants (PDAs) (HP iPAQ 114 classic handheld) running Microsoft® Windows Mobile® 6 Classic with a large 3.5 in. TFT touch screen (320×240 pixel resolution), high luminance and integrated IEEE 802.11b/g wireless. For software development Visual Studio 2008 professional (Microsoft) was used and all components were written in C#. Two test sessions were conducted to test the software technically followed by two real classroom tests in a radiology class for medical students on thoracic radiology. The novel ARS, called I2Vote, was successfully implemented and provided an easy to use, stable setup. The acceptance of both students and teachers was very high and the interaction with the students improved because of the anonymous interaction possibility. An easy to use handheld based ARS that enables interactive, image-based, teaching is achieved. The system effectively adds an extra dimension to the use of an ARS. Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

  18. Who Chooses STEM Careers? Using A Relative Cognitive Strength and Interest Model to Predict Careers in Science, Technology, Engineering, and Mathematics.

    Science.gov (United States)

    Wang, Ming-Te; Ye, Feifei; Degol, Jessica Lauren

    2017-08-01

    Career aspirations in science, technology, engineering, and mathematics (STEM) are formulated in adolescence, making the high school years a critical time period for identifying the cognitive and motivational factors that increase the likelihood of future STEM employment. While past research has mainly focused on absolute cognitive ability levels in math and verbal domains, the current study tested whether relative cognitive strengths and interests in math, science, and verbal domains in high school were more accurate predictors of STEM career decisions. Data were drawn from a national longitudinal study in the United States (N = 1762; 48 % female; the first wave during ninth grade and the last wave at age 33). Results revealed that in the high-verbal/high-math/high-science ability group, individuals with higher science task values and lower orientation toward altruism were more likely to select STEM occupations. In the low-verbal/moderate-math/moderate-science ability group, individuals with higher math ability and higher math task values were more likely to select STEM occupations. The findings suggest that youth with asymmetrical cognitive ability profiles are more likely to select careers that utilize their cognitive strengths rather than their weaknesses, while symmetrical cognitive ability profiles may grant youth more flexibility in their options, allowing their interests and values to guide their career decisions.

  19. Relationship between the edgewise compression strength of ...

    African Journals Online (AJOL)

    The results of this study were used to determine the linear regression constants in the Maltenfort model by correlating the measured board edgewise compression strength (ECT) with the predicted strength, using the paper components' compression strengths, measured with the short-span compression test (SCT) and the ...

  20. Push button parliament–why India needs a non-partisan, recorded vote system

    Directory of Open Access Journals (Sweden)

    Shalaka Patil

    2011-12-01

    Full Text Available Decisions of national importance are made by Parliamentary voting. Yet Indian Members of Parliament (MPs vote with a remarkable lack of freedom and accountability. The introduction of the Tenth Schedule in the Constitution has crippled free expression, since it provides that MPs voting against ‘any direction’ of their Party are liable to disqualification from the legislature In addition, except for Constitutional amendments, Indian Parliamentary Procedure Rules do not require votes of MPs to be recorded unless the Speaker’s decision is contested in the House. The result is that voting in the House has become mechanical, controlled by Party politics and devoid of responsibility. This paper comments on a general theory of democratic accountability through the lens of Parliamentary voting. It suggests that the voting system adopted in the Parliament is an effective indicator to measure the level of accountability of its Members. In the context of India, this paper argues that the level of accountability will increase to a desirable extent only when there is adoption of a recorded system for every important House vote. Upon examination of India’s record thus far (through the sample of the 14th Lok Sabha it becomes evident that the level of divisions (recorded votes is substantially lower than other countries. This leads the paper to probe, as to why that might be the case. Part II of the paper answers that question by examining the Tenth Schedule of the Constitution. The paper scrutinizes the disproportionate influence of the Party in decision making in the Parliament. Apart from dealing with the inherent problem of the Tenth Schedule, this paper suggests two procedural changes to make parliamentary expression more meaningful. Firstly, the recording of all important votes within the Parliament and secondly, registering Party whips with the Minister of Parliamentary Affairs so that the voter knows the clear stand of every Parliamentary