岩石可钻性能量法现场实验研究

本文介绍了岩石可钻性能全法在油田现场实脸研究的成果:确定其可钻性指标凡对地层的适用范围，证明K指标比其他可钻性指标能更容易、史好地反映出井下实际地层可钻性变化情无，用K指标预浏钻速与实际钻速接近.     

Sample size re‐estimation incorporating prior information on a nuisance parameter

Prior information is often incorporated informally when planning a clinical trial. Here, we present an approach on how to incorporate prior information, such as data from historical clinical trials, into the nuisance parameter–based sample size re‐estimation in a design with an internal pilot study. We focus on trials with continuous endpoints in which the outcome variance is the nuisance parameter. For planning and analyzing the trial, frequentist methods are considered. Moreover, the external information on the variance is summarized by the Bayesian meta‐analytic‐predictive approach. To incorporate external information into the sample size re‐estimation, we propose to update the meta‐analytic‐predictive prior based on the results of the internal pilot study and to re‐estimate the sample size using an estimator from the posterior. By means of a simulation study, we compare the operating characteristics such as power and sample size distribution of the proposed procedure with the traditional sample size re‐estimation approach that uses the pooled variance estimator. The simulation study shows that, if no prior‐data conflict is present, incorporating external information into the sample size re‐estimation improves the operating characteristics compared to the traditional approach. In the case of a prior‐data conflict, that is, when the variance of the ongoing clinical trial is unequal to the prior location, the performance of the traditional sample size re‐estimation procedure is in general superior, even when the prior information is robustified. When considering to include prior information in sample size re‐estimation, the potential gains should be balanced against the risks.     

Coproduction and the third sector in France: Governmental traditions and the French conceptualization of participation

Research on coproduction has tended to assume a coherence of conceptualizations of coproduction across borders, and little analysis of the framing and discourse of coproduction in different contexts has been undertaken. In the French language literature on citizen participation and the social and solidarity economy, the term coproduction is little used. This paper investigates the narratives of French academics, public, and third sector actors in order to identify what, if anything, is different about the French context that explains this gap. Drawing on semistructured interviews, I identify four key narratives that distinguish the French conceptualizations of coproduction and the third sector from the dominant English language coproduction literature: (a) a mainstreaming of coproduction as part of organizational purpose in the social and solidarity economy, (b) an emphasis on formalized involvement of citizens in organizational governance, (c) the motivation of citizen empowerment and democracy over cost and efficiency, and (d) the use of the term coconstruction rather than coproduction. I argue that these narratives are shaped by the governmental traditions of France, which emphasize formal rules, hierarchy, representative democracy, and a suspicion of particularistic interests. I conclude by questioning the universality of some of the axioms of coproduction theory in the English language literature.     

Gender egalitarianism,perceived economic insecurity,and fertility intentions in Spain: A qualitative analysis

Economic uncertainty contributes to low fertility in many European countries. On the other hand, greater gender equality may positively influence fertility. This paper examines how these two forces interact in Spain. We use in-depth interviews to analyse fertility decision-making among young and highly educated partnered adults living in urban areas. Highly gender-egalitarian interviewees are less likely to perceive economic insecurity as an obstacle to proceeding to a next birth than less egalitarian interviewees. But there is not necessarily a difference in these two groups’ overall fertility intentions, as highly egalitarian interviewees’ greater valuation of stable employment for both partners requires institutional and policy support for dual-earner couples’ childrearing. When we look only at interviewees who express economic insecurity, somewhat higher fertility intentions are expressed by those holding less gender-egalitarian attitudes. Our results underline the complexity of the interrelationships between economic insecurity, gender egalitarianism, and fertility intentions.     

Functional and emotional traits of corporate social media message strategies: Behavioral insights from S&P 500 Facebook data

Drawing from literature regarding public engagement, the Elaboration Likelihood Model (ELM), computer-mediated communication research, and emotion psychology, this study examines the effects of companies’ social media communication strategies on public engagement behaviors as indexed by post likes, shares, and comments. Specifically, it investigates how corporate Facebook posts’ functional traits (functional interactivity and vividness) and emotional traits (emotion presence, valence, and strength) impact public engagement online. Through data mining and computer-assisted sentiment analysis of 33,379 posts from 106 Standard & Poor 500 companies’ Facebook accounts, this study finds a negative effect of functional interactivity but a positive effect of vividness on engagement. It also shows that emotional traits overall yield stronger public engagement outcomes. Two-way interactions between emotional and functional features are also detected. Theoretical and practical implications are discussed.     

The quest for legitimacy and the communication of strategic cross-sectoral partnership on Facebook: A big data study

Nowadays, many wicked problems such as environmental issues require organizations from multiple sectors to form cross-sectoral alliances. Cross-sectoral alliance networks can transfer resources and signal affiliations and value alignment between strategic partners. The communication of cross-sectoral alliances is a form of CSR communication that serves organizations’ strategic goals and objectives. Drawing on the literature on digital CSR communication and legitimacy theory, this article examines which legitimacy needs shape the formation of cross-sectoral ties on Facebook in addressing environmental and sustainable development issues in the United States. Combining data-mining, text-mining, social network analysis, and exponential graph modeling, this research investigates the structure of a network among 3071 organizations across multiple sectors. Findings show that organizations’ cross-sectoral tie formation is mainly driven by social legitimacy and alliance legitimacy needs.     

A qualitative study on participants’ perceptions of child development accounts in Korea

ABSTRACT

In 2007, Korea implemented Child Development Accounts (CDAs) for institutionalised children in child welfare systems. Since then, the target group and a matching cap of CDAs in Korea have evolved. The target group expanded to include poor children receiving welfare, whereas the matching cap increased from KRW 30,000 (US$26.53) to KRW 40,000 (US$35.38), which is matched at a 1:1 rate. Despite the expansion, there is little empirical evidence examining the extent to which CDAs have influenced the life of participants. Using a content analysis method with a sample (N = 22), this study examines how CDAs have changed children’s mindsets, saving habits, education, future planning and sponsorship. The findings suggest that CDAs have multiple positive influences on children. This study concludes with policy implications for the inclusive and progressive development of CDAs in Korea.     

Participation in Everyday Life Before and After a Housing Adaptation

Housing adaptation aims to enable clients to live independently in their own homes. Studies focusing on participation in everyday life following a housing adaptation are lacking and needed. This study aimed to explore housing adaptation clients' experiences of participation in everyday life before and after a housing adaptation, through the lens of a housing adaptation, using a qualitative follow-up design, with 11 participants. It was found that when the housing adaptation met the participants' needs, performance of activities improved and the housing adaptation opened doors to engagement and participation in everyday life. Thus, focus on performance and engagement in everyday life at the onset of the housing adaptation process, combined with regular follow-ups, may enhance participation.     

Demographic differences in response rates for PHQ9 in a university student population

Objective: To examine differences in complete response rates for depression screening questions based on demographic characteristics. Methods: Cross-sectional study examining associations between demographic characteristics and completely responding depression-screening questions. Participants: “Healthy Minds Study” data, collected in a public University in February 2016, where 7,326 students participated. Results: women (AOR: 0.69; 95% CI =0.57–0.83) and gay/lesbian students (AOR: 0.24; 95% CI =0.10–0.60) had better complete response rates. Non-US (AOR: 1.46; 95% CI =1.03–2.07), black (AOR: 3.32; 95% CI =1.92–5.77), and Middle-Eastern students (AOR: 3.73; 95% CI =1.73–8.02) had lower complete response rates. Conclusions: Our study shows sex, gender, citizenship, and race categories have significant differences in complete response rates for the outcome. Our findings have several implications; including recognizing interventions for depression based on responders may not target those that tend to be “partial-responders”. Efforts in survey design, recruiting and completion of surveys should be maximized.     

Data Science: A Powerful Catalyst for Cross-Sector Collaborations to Transform the Future of Global Health—Developing a New Interactive Relational Mapping Tool (Demo)

ABSTRACT

The increasingly complex and rapidly changing global health and socioeconomic landscape requires fundamentally new ways of thinking, acting, and collaborating to solve growing systems challenges. Cross-sectoral collaborations between governments, businesses, international organizations, private investors, academia, and nonprofits are essential for lasting success in achieving the Sustainable Development Goals (SDGs), and securing a prosperous future for the health and well-being of all people (United Nations, n.d United Nations. (n.d.). SDGs: Sustainable development knowledge platform. Sustainable Development United Nations. Retrieved from https://sustainabledevelopment.un.org/ [Google Scholar].). Our aim is to use data science and innovative technologies to map diverse stakeholders and their initiatives around SDGs and specific health targets—with particular focus on SDG 3 (Good Health & Well Being) and SDG 17 (Partnerships for the Goals)—to accelerate cross-sector and multidisciplinary collaborations. Initially, the mapping tool focuses on Geneva, Switzerland as the world center of global health diplomacy with over 80 key stakeholders and influencers present. As we develop the next level pilot, we aim to build on users’ interests, with a potential focus on non-communicable diseases (NCDs) as one of the emerging and most pressing global health issues that requires new collaborative approaches. Building on this pilot, we can later expand beyond only SDG 3 to other SDGs.