Although personality and culture have been employed as independent predictors of emotion regulation, less is known about the interplay between them. Thus, the present study tests their interaction by focusing on the match between personality (public self-consciousness) and culture (valuing independence vs. interdependence) in modulating an emotion regulation strategy, namely, emotion suppression, on Facebook. Furthermore, relationship concern related to the expression of positive and negative emotions on Facebook is explored as a potential underlying mechanism. An online survey on Facebook users in the United States (n = 320) and South Korea (n = 336) was conducted through two professional survey companies. The results revealed that the positive association between public self-consciousness and emotion suppression was stronger among respondents who value interdependence (vs. independence), which led to a significant interaction between the two predictors. Furthermore, public self-consciousness was associated with emotion suppression through relationship concern for the expression of positive, but not negative, emotions. Furthermore, this mediated relationship was stronger among respondents who value interdependence (vs. independence). Lastly, the study discussed the importance of exploring the interplay between personality and culture and the implication of dialectic emotions.

Social games where players play together with others in multiplayer mode are currently emerging and attracting attention in the media after the success of e.g. Pokemon GO. Nevertheless, little is known about the profitability of social players. Previous gaming research that has profiled different types of players has focused on games played alone, without social mechanics (cf. Vahlo et al., 2017). From a marketing perspective, it is also interesting to study the effects of merely watching game play or browsing new game ads as a mode of entertainment, and what kind of effect that has on future behaviour. Passive participation as a type of aesthetic entertainment has been acknowledged in eSports context (Seo, 2013). This paper analyses big data of a gaming company on an individual player level, including different types of single play and multiplayer gaming sessions and in-game purchase behaviour data. We compare the effects of social and non-social ingame mechanics on how individuals spend money in-game over time, frequency of play, sessions as well as the length of played sessions in minutes during the gamers’ whole lifecycle. The anonymized repository data includes gaming behaviour, in-game purchase behaviour related to the use of one specific digital game in the USA. The game can be played both alone, and with others as a team. We used structural equation modeling to analyse the behavior of 23 049 randomly selected players, who have played the game for at least one week. The data included the individual players’ total session history during their play lifecycle. Interestingly, social play with other people is a strong predictor of money spent in the long term. Social play also prompts long-term interest in the game, as friends invite and encourage each other to play with or against other virtual teams. Nevertheless, social play is not for everyone! The results help to optimize player journeys and to make strategic decisions that support long term profitability of gaming companies.

Chronic obstructive pulmonary disease (COPD) is associated with multiple comorbidities, including depression, which carries a higher risk of exacerbation and hospitalization in patients with stable COPD. A newly developed questionnaire, the COPD Assessment Test (CAT), was developed as an alternative to other complex, time-consuming tools for quantifying the symptom burden of COPD in routine practice. It is possible that the correlation between the CAT and depression scales could be useful for early evaluation and management of depression in COPD patients. Thus, we investigated the relationship between the CAT and depression as measured by the Patient Health Questionnaires-9 (PHQ-9). We performed a retrospective observational COPD cohort study. A total of 97 patients were enrolled. The Korean versions of the CAT and PHQ-9 were completed for stable patients. A correlation analysis was performed between the PHQ-9 and CAT scores. Significant depression among the groups based on the 2011 GOLD guidelines occurred only in class Gold B and D patients (40% and 60%, respectively). The frequency of depression was significantly higher in the group with higher CAT scores (20~29 versus ≥30; odds ratio: 5.67 versus 22.66). Significant association was observed between the PHQ-9 and CAT scores (r=0.545 and P<0.001). As a result, the PHQ-9 score was significantly higher in COPD patients with a higher CAT score. The CAT is a simple and valuable predictor of depression in COPD patients, and it should be frequently used to detect COPD patients with depression in clinical practice.

Dynamic application lower mode response is of interest, however the higher modes of spatially discretized equations generally do not represent the real behavior. Some implicit algorithms, therefore, are introduced to filter out the high-frequency modes. The objective of this study is to introduce the P-method and PC α-method to compare that with dissipation method and Newmark method through the stability analysis and numerical example. PC α-method gives more accuracy than other methods because it based on the α-method inherits the superior properties of the implicit α -method. In finite element analysis, the PC α-method is more useful than other methods because it is the explicit scheme and it achieve the second order accuracy and numerical damping simultaneously.

To improve the performance of wide-issue superscalar processors, it is essential to increase the width of instruction fetch and the issue rate. Removal of control hazard has been put forward as a significant new source of instruction-level parallelism for superscalar processors and the conditional branch prediction is an important technique for improving processor performance. Branch mispredictions, however, waste a large number of cycles, inhibit out-of-order execution, and waste electric power on mis-speculated instructions. Hence, the branch predictor with higher accuracy is necessary for good processor performance. In global-history-based predictors like gshare and GAg, many mispredictions come from commit update of the branch history. Some works on this subject have discussed the need for speculative update of the history and recovery mechanisms for branch mispredictions. In this paper, we present a new mechanism for recovering the branch history after a misprediction. The proposed mechanism adds an age_counter to the original predictor and doubles the size of the branch history register. The age_counter counts the number of outstanding branches and uses it to recover the branch history register. Simulation results on the SimpleScalar 3.0/PISA tool set and the SPECINT95 benchmarks show that gshare and GAg with the proposed recovery mechanism improved the average prediction accuracy by 2.14% and 9.21%, respectively and the average IPC by 8.75% and 18.08%, respectively over the original predictor.

The objective of the current study is to compare the performances of a classical regression method (SWR) and the LASSO technique for predictor selection. A data set from 9 stations located in the southern region of Quebec that includes 25 predictors measured over 29 years (from 1961 to 1990) is employed. The results indicate that, due to its computational advantages and its ease of implementation, the LASSO technique performs better than SWR and gives better results according to the determination coefficient and the RMSE as parameters forcomparison.

본 연구는 선수와 지도자사이의 구조적 관계행동을 규명하기 위해 제작된 행동일치척도를 이용하여 배드민턴 선수와 지도자 간 행동특성의 일치 수준에 따라 선수의 내적동기와 자기 효능감이 어떻게 달라지는지를 알아보는데 목적이 있다. 자기 효능감 설문지 개발에 현역선수 10명과 감독 10명을 참여하였으며 현재 고등학교, 대학교, 실업팀에서 활동하고 있는 배드민턴 선수 약 213명으로부터 자료를 수집하였다. 행동일치 수준에 따른 내적동기 요인간의 차이를 분석한 결과 훈련방식과 시합운영에서 선수와 지도자의 행동일치 수준을 높게 지각한 집단이 낮은 집단에 비해 재미/흥미 요인이 더 높은 것으로 나타났다. 또 자기관리와 시합준비에서도 행동일치가 높을수록 재미/흥미와 유능성지각이 더 높았다. 두 번째로 행동일치수준에 따른 자기 효능감 차이를 분석한 결과 훈련방식을 제외한 모든 요인에서 지도자와 자신의 행동이 일치한다고 인식한 선수일수록 자기 효능감 수준이 높은 것으로 나타났다. 마지막으로 행동일치와 내적동기간의 중다회귀분석 결과 자기관리와 시합운영 요인에서 재미/흥미요인과 유능성지각에 영향을 주는 것으로 나타났다. 행동일치와 자기 효능감과의 중다회귀분석 결과 자기관리 및 시합운영 요인의 행동일치가 자기 효능감에 영향을 미치는 것으로 밝혀졌다. 본 연구는 상호작용적 관점에서 선수와 지도자간의 행동일치(athlete-coach behavior fit)가 주는 동기적 효과를 규명했다는 가치를 갖고 있다.

본 연구에서는 인지평가이론의 예측을 토대로 체육수업 상황에서 교사의 지도행동에 따라 학생의 체육 내적동기가 어떻게 달라지는가를 알아보았다. 남녀 중학생 475명을 대상으로 CBAS의 12개 행동 범주를 반영한 질문지를 이용하여 체육교사의 지도행동에 대한 인식을 평가하였다. 학생의 체육 내적 동기는 두 종류의 IMI 한국관에 대한 평가를 거쳐 원본을 더 잘 반영하는 문항을 선택하여 측정하였다. 남학생이 여학생보다 체육을 더 좋아하고 더 열심히 하는 것으로 나타나 체육수업에 임하는 동기에서 성차가 발견되었다. 14명의 체육교사의 지도행동에 대한 학생의 인식을 분석한 결과 처벌통제나 지도격려 중에서 어느 한쪽을 더 강하게 평가하는 경향을 보여 `X`자 형태의 프로파일이 만들어졌다. 남학생과 여학생 사이에 약간의 차이는 있지만 대체로 기술지도와 격려 위주의 지도행동은 체육에 대한 재미와 유능감을 높이는데 도움이 되었다. 반면 통제와 처벌에 의존하고 칭찬에 인색한 교사의 지도를 받은 학생은 체육시간에 더 긴장하는 경향을 보였다. 이러한 결과를 바탕으로 스포츠심리학과 스포츠 교육학의 협력연구, 내적동기와 외적동기의 통합적인 적용, 교사 지도행동 개선을 위한 연수 프로그램의 개발과 적용 연구의 필요성을 논의하였다.

Tidal phenomenon can be utilized by the wise and cautious mariner to safely perform his duties as pilot and navigator. It can be either a help or hindrance to the mariner. The principle of MULDAE which expresses the determination of the state of the tide based upon knowledge of the lunar date and it has been used in Korea since ancient times. The folk method of calculation was essentially based on an unsystematic division of the lunar month, traditionally using the numbers 7 or 8. As the lunar cycle is complete in 15 days the tidal cycle should also correspondence closely to the lunar date. This paper represents the first scientific attempt to systematically investigate this unique traditional method of tidal calculation and contains a comparison of the MULDAE and ordinary (solar based) tide calculation methods. MULDAE was compared with the standard tide table for standard and island ports in Korea from 1982 to 1985. This study concluded that MULDAE was indeed an accurate adn reliable predictor of tidal activity. Furthermore, the number 6 was found to be the correct divisor upon which to base MULDAE calculations Also a formula expressing MULDAE as a function was discovered. This research show that MULDAE can be applied nationwide and is a reliable and easy way to predict tides based upon mean figures for certain ports and island A calender showing MULDAE is presented here for the first time. A clear relationship between the MULDAE method of calculating tides and the use of ordinary tide tables is proven.