257,770 research outputs found
Replication Data for: Media Bias against Foreign Firms as a Veiled Trade Barrier: Evidence from Chinese Newspapers
No full textReplication materials for: Kim, Sung Eun. "Media Bias against Foreign Firms as a Veiled Trade Barrier: Evidence from Chinese Newspapers
Kim, Ji Eun
No full text학위논문(박사)--아주대학교 일반대학원 :의학과,2014. 8ABSTRACT ⅰ
TABLE OF CONTENTS ⅱ
LIST OF FIGURES ⅲ
LIST OF TABLES ⅳ
Ⅰ. INTRODUCTION 1
Ⅱ. MATERIALS AND METHODS 2
STATISTICAL ANALYSIS 2
Ⅲ. RESULTS 4
Ⅳ. DISCUSSION 17
Ⅴ. CONCLUSION 20
REFERENCES 21
국문요약 25DoctoralFentanyl-induced cough (FIC) is often observed after intravenous bolus administration of fentanyl during anesthesia induction. This meta-analysis assessed the efficacy of pharmacological and non-pharmacological interventions to reduce the incidence of FIC. We searched for randomized controlled trials comparing the pharmacological or non-pharmacological interventions with the controls to prevent FIC; we included 28 studies retrieved from Pub-Med, Embase, and Cochrane Library. Overall incidence of FIC was approximately 31%. Lidocaine [odds ratio (OR) = 0.29, 95% confidence interval (CI) 0.21 –0.39], N-methyl-D-aspartate (NMDA) receptor antagonists [OR = 0.09, 95% CI 0.02 – 0.42], propofol [OR = 0.07, 95% CI 0.01 – 0.36], α2 agonists [OR = 0.32, 95% CI 0.21 – 0.48], β2 agonists [OR = 0.10, 95% CI 0.03 – 0.30], fentanyl priming [OR = 0.33, 95% CI 0.19 – 0.56], and slow injection of fentanyl [OR = 0.25, 95% CI 0.11 – 0.58)] were effective in decreasing the incidence of FIC, whereas atropine [OR = 1.10, 95% CI 0.58 – 2.11] and benzodiazepines [OR = 2.04, 95% CI 1.33 – 3.13] were not effective. This meta-analysis found that lidocaine, NMDA receptor antagonists, propofol, α2 agonists, β2 agonists, and priming dose of fentanyl were effective in preventing FIC, but atropine and benzodiazepines were not. Slow injection of fentanyl was effective in preventing FIC, but results depend on the speed of administration
Roll Call Votes on Environmental Issues by the U.S. Congress, 1971-2013
No full textThis dataverse contains the roll-call votes data on environmental issues in the U.S. The legislator-vote dataset covers 368,974 observations for 499 votes at the Senate and 739 votes at the House from 1971 to 2013.
To cite the dataset: Kim, Sung Eun and Johannes Urpelainen. 2017. Roll Call Votes on Environmental Issues by the U.S. Congress, 1971-2013. Harvard Dataverse, V1. http://dx.doi.org/10.7910/DVN/1ELYGA
To cite the article: Kim, Sung Eun and Johannes Urpelainen. 2017. “The Polarization of American Environmental Policy: A Regression Discontinuity Analysis of Senate and House Votes, 1971-2013” Forthcoming. Review of Policy Research. DOI: 10.1111/ropr.12238
The dataverse also contains a complete replication package. The dataset draws on various sources. Please cite the relevant sources as described in the codebook.
You can use the data for any non-commercial purposes, provided you include a complete citation of the article and the dataset
Roll Call Votes on Environmental Issues by the U.S. Congress, 1971-2013
No full textThis dataverse contains the roll-call votes data on environmental issues in the U.S. The legislator-vote dataset covers 368,974 observations for 499 votes at the Senate and 739 votes at the House from 1971 to 2013.
To cite the dataset: Kim, Sung Eun and Johannes Urpelainen. 2017. Roll Call Votes on Environmental Issues by the U.S. Congress, 1971-2013. Harvard Dataverse, V1. http://dx.doi.org/10.7910/DVN/1ELYGA
To cite the article: Kim, Sung Eun and Johannes Urpelainen. 2017. “The Polarization of American Environmental Policy: A Regression Discontinuity Analysis of Senate and House Votes, 1971-2013” Forthcoming. Review of Policy Research. DOI: 10.1111/ropr.12238
The dataverse also contains a complete replication package. The dataset draws on various sources. Please cite the relevant sources as described in the codebook.
You can use the data for any non-commercial purposes, provided you include a complete citation of the article and the dataset
Environmental Public Opinion in U.S. States, 1973-2012
No full textThis dataset contains the state-level estimates of environmental public opinion in the U.S. The dataset covers 50 states for 40 years, ranging from 1973 to 2002. The dataset has information on public opinion broken down by partisanship (i.e. environmental public opinion among Democrats, Independents, or Republicans). The dataset also provides public opinion estimates in other issue areas such as foreign aid, assistance to blacks, defense, education, health, and welfare for the poor.
To cite the dataset: Kim, Sung Eun and Johannes Urpelainen. 2017. Environmental Public Opinion in U.S. States, 1973-2012. Harvard Dataverse, V1. http://dx.doi.org/10.7910/DVN/TG2AOT
To cite the article: Kim, Sung Eun and Johannes Urpelainen. 2017. “Environmental Public Opinion in U.S. States, 1973-2012” Forthcoming. Environmental Politics. DOI:10.1080/09644016.2017.1362720
The dataverse also contains a complete replication package (see replication_code.R).
You can use the data for any non-commercial purposes, provided you include a complete citation of the article and the dataset
Environmental Public Opinion in U.S. States, 1973-2012
No full textThis dataset contains the state-level estimates of environmental public opinion in the U.S. The dataset covers 50 states for 40 years, ranging from 1973 to 2002. The dataset has information on public opinion broken down by partisanship (i.e. environmental public opinion among Democrats, Independents, or Republicans). The dataset also provides public opinion estimates in other issue areas such as foreign aid, assistance to blacks, defense, education, health, and welfare for the poor.
To cite the dataset: Kim, Sung Eun and Johannes Urpelainen. 2017. Environmental Public Opinion in U.S. States, 1973-2012. Harvard Dataverse, V1. http://dx.doi.org/10.7910/DVN/TG2AOT
To cite the article: Kim, Sung Eun and Johannes Urpelainen. 2017. “Environmental Public Opinion in U.S. States, 1973-2012” Forthcoming. Environmental Politics. DOI:10.1080/09644016.2017.1362720
The dataverse also contains a complete replication package (see replication_code.R).
You can use the data for any non-commercial purposes, provided you include a complete citation of the article and the dataset
Transferable silicon nanowire arrays embedded in flexible polymer for color tuning with metal insulator metal structure
No full textYeong Jae Kim Young Jin Yoo Gil Ju Lee Dong Eun Yoo Dong Wook Lee, Vantari Siva, Hansung Song, Il Suk Kang, Young Min Song
Here, we present the transferable color-tuning structures. These structures are comprised of a polymer embedded silicon nanowire arrays (Si NWAs) stacked on a metal/insulator/metal (MIM) cavity. Upon stacking the Si NWAs on the MIM cavity, these cyan, magenta and yellow colors can be tuned to a color gamut by varying parameters of the Si NWAs such as diameter, height and periods. The fine tuning of these colors were explained on the basis of the measured reflectance spectra, which was further supported by the theoretical simulations
sj-pdf-3-imr-10.1177_03000605231152100 - Supplemental material for Lidocaine inhibits osteogenic differentiation of human dental pulp stem cells <i>in vitro</i>
No full textResearch Data for Lidocaine inhibits osteogenic differentiation of human dental pulp stem cells in vitro by Eun-Jung Kim, Ji-Uk Yoon, Cheul-Hong Kim, Ji-Young Yoon, Joo-Young Kim, Hyang-Sook Kim and Eun-Ji Choi in Journal of International Medical Research</p
sj-pdf-1-imr-10.1177_03000605231152100 - Supplemental material for Lidocaine inhibits osteogenic differentiation of human dental pulp stem cells <i>in vitro</i>
No full textResearch Data for Lidocaine inhibits osteogenic differentiation of human dental pulp stem cells in vitro by Eun-Jung Kim, Ji-Uk Yoon, Cheul-Hong Kim, Ji-Young Yoon, Joo-Young Kim, Hyang-Sook Kim and Eun-Ji Choi in Journal of International Medical Research</p
sj-pdf-2-imr-10.1177_03000605231152100 - Supplemental material for Lidocaine inhibits osteogenic differentiation of human dental pulp stem cells <i>in vitro</i>
No full textResearch Data for Lidocaine inhibits osteogenic differentiation of human dental pulp stem cells in vitro by Eun-Jung Kim, Ji-Uk Yoon, Cheul-Hong Kim, Ji-Young Yoon, Joo-Young Kim, Hyang-Sook Kim and Eun-Ji Choi in Journal of International Medical Research</p
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