ライフサイエンスコーパス: election

1 right before the rise of Nazism and Hitler's election.

2 ted voting behavior in the 2008 Presidential election.

3 ory of Barack Obama in the 2008 presidential election.

4 ir values when there are more bidders in the election.

5 health care issues in the months before the election.

6 canvassing shortly before the November 1998 election.

7 appeal that emphasizes the closeness of the election.

8 and practice since the 2016 US presidential election.

9 eaders they would vote for in a hypothetical election.

10 years that followed a November presidential election.

11 italizations following the 2020 presidential election.

12 a different political party from election to election.

13 r rate in vote counting during the 2020 U.S. election.

14 ere observed following the 2020 presidential election.

15 relies on data collected during the 2016 US election.

16 's efforts to overturn the 2020 presidential election.

17 changed the outcome of the 2020 presidential election.

18 ollowing the 2024 United States presidential election.

19 e polarized, and this sentiment endures post-election.

20 y-academy collaboration explores the 2020 US election.

21 mail in the lead-up to the June 2020 primary election.

22 ls to support the administration of the 2020 election.

23 Republican votes in the 2020 US presidential election.

24 Republican votes in the 2020 US presidential election.

25 er how fake news influenced the presidential election.

26 how people voted in the 2020 US presidential election.

27 ads to increased vote share in the following election.

28 nd consistent over the course of the 2022 US election.

29 g the legitimacy of the 2020 US presidential election.

30 he United States after the 2016 presidential election.

31 referred candidate is more likely to win the election.

32 d sociopolitical events such as presidential elections.

33 n the United States next to the presidential elections.

34 islation, which is a major issue in the 2004 elections.

35 ves for voters to vote strategically in such elections.

36 erved for scheduled caste (SC) in 2021 local elections.

37 sing on local health issues but not national elections.

38 pe between the 2016 and 2020 US presidential elections.

39 f the 2022 French and Brazilian presidential elections.

40 ention for voters in 2024, a record year for elections.

41 ere central to shifting votes in the midterm elections.

42 is linked to a lower likelihood of voting in elections.

43 nked to county level data on US presidential elections.

44 on Google Search during the 2018 and 2020 US elections.

45 ted an experiment around the 2020 US federal elections.

46 d the important role it might play in future elections.

47 med groups at a time of contentious national elections.

48 more information becomes available in future elections.

49 cational assignments, and voting in upcoming elections.

50 references of undecided voters in democratic elections.

51 are and Medicaid policy sometimes influences elections.

52 ffordable Care Act in the 2014 congressional elections.

53 ebook users during the 2010 US congressional elections.

54 did these grants shape the 2020 presidential election?

55 to the rate in the window prior to the 2016 election (353.75 per 100,000 PY) was 1.62 times higher (

56 vents in the 2 d after the 2016 presidential election (573.14 per 100,000 person-years [PY]) compared

57 tes of hospitalization for CVD following the election (666 hospitalizations; rate = 760.5 per 100 000

58 for a Democrat during the next presidential election (88% chance); otherwise, it is likely to vote R

59 nclusions support the conventional wisdom of election administration experts and contradict many popu

60 n, we collect administrative data on private election administration grants and election outcomes.

61 We find that, although the Compensation Election allows subjects to strategically bid above thei

62 From the 2016 US presidential election and into 2019, we demonstrate that a visceral f

63 nnealing, S: election and L: igation (RASL) assays, which are based o

64 udy 4, fusion with Trump increased after his election and predicted immigrant persecution over time.

65 idential election, the 2025 Canadian federal election and the 2025 Polish presidential election, we a

66 s, people similarly emphasized free and fair elections and civil liberties as being the key determina

67 rt a smaller and less consistent effect than elections and civil liberties.

68 ical persuasion and the resulting impacts on elections and democracy(1-6).

69 al (representation, party freedom, suffrage, elections and democracy) determinants (all Cohen's d (d)

70 democracy, it erodes trust and confidence in elections and increases belief that the election is rigg

71 spectively warn of false claims about future elections and provide information about election securit

72 plications of the changing nature of popular elections and the role of media are discussed.

73 h higher turnout than expected in the runoff election, and those who liked or shared tweets promoting

74 rveys during the previous three presidential elections, and 3 conducted as national exit polls of vot

75 set covering 86 countries and more than 500 elections, and a separate data set with extensive pollin

76 US companies, student leader nominations and elections, and experiments), East Asians were less likel

77 cal discussions leading up to the US federal elections, and in historical patterns of bill co-sponsor

78 built around the principle of free and fair elections, and that each citizen's vote should count equ

79 argeting to sway voters' opinions, influence elections, and undermine democracy.

80 s with the importance of health care in past elections, and which issues voters regard as the most im

81 The scholarly literature suggests that, as elections approach, political tensions intensify, and, a

82 findings after the latest U.S. presidential election are discussed.

83 Mass elections are key mechanisms for collective decision-mak

84 igital advertising campaigns in presidential elections are likely to be modest.

85 interviewed shortly before or after national elections are more likely to express negative attitudes

86 Finally, data on the past five US general elections are retrieved, in order to explore the relatio

87 Given that many elections are won by small margins, our results suggest

88 at reported irregularities in recent Russian elections are, indeed, well-explained by systematic ball

89 This article surveys recent work on elections as mechanisms for aggregating information and

90 the United States of America after the 1994 election, as discussed by political scientists.

91 RA accounts influenced the 2016 presidential election-as well as its implications for future research

92 tent ideological polarization across the two elections at the user and influencer levels.

93 The construction of a nation-scale election audit dataset represents a novel approach to be

94 predicted the outcomes of U.S. congressional elections better than chance (e.g., 68.8% of the Senate

95 ratic characteristics, such as free and fair elections, but severely underestimate opposing party mem

96 nded sources during the 2020 US presidential election by about one-third.

97 d on Twitter during the 2020 US presidential election by an entire panel of 664,391 voters.

98 e use of territorially based representation (election by district).

99 eralized social trust, too, is unaffected by election calendars.

100 he research on a large scale: in the 2004 US elections, California voters approved a state initiative

101 analyzing Twitter data in the 2013 and 2022 election campaign we observe that, on short timescales,

102 (Fox News) slant during the 2018 US midterm election campaign.

103 National elections can be regarded as large-scale social experime

104 The results suggest that global elections can be successfully modeled and that they are

105 ue polarization, perceived legitimacy of the election, candidate favorability, and voter turnout were

106 can lead to inefficient spending just before elections, cause inaction on important future policy cha

107 The Compensation Election chooses the option that receives the highest su

108 ions by aggregating data from the US Federal Election Commission database were analyzed.

109 bership Committee, Committee of Tellers, and Elections Committee.

110 bership Committee, Committee of Tellers, and Elections Committee.

111 the US, each approach immediately increased election confidence and reduced fraud beliefs, with preb

112 ining behavioral measures of engagement with election conspiracies online and administrative data on

113 ting in the 2022 United States congressional elections, contests that were widely expected to produce

114 data on campaign platforms (N = 4,703) from election cycles before and after Dobbs.

115 l be weaponized against world leaders during election cycles or times of armed conflict.

116 in villages assigned a female leader for two election cycles.

117 lyses incorporating PCA components and state election data reveal that the LinkedIn-derived SDG and c

118 e developed prediction models by means of an election data set covering 86 countries and more than 50

119 prior to and following the 2016 presidential election date.

120 We find that a win in the 10 d before Election Day causes the incumbent to receive an addition

121 Higher air pollution on election day shifts votes away from incumbent parties an

122 lion tweets in the five months preceding the election day to identify 30 million tweets, from 2.2 mil

123 weekends after paydays, on holidays, and on election days.

124 In this experiment, subjects made re-election decisions regarding 178,184 randomly assigned i

125 When enforced by free and fair elections, democracies are more likely than autocracies

126 Analysis of a recent general election demonstrates that people who were assigned to v

127 evidence that elected officials' practice of election denialism encourages their constituents to expr

128 bstantially exceeding the kurtosis of normal elections, depending on the level of data aggregation.

129 effect of National Football League games on elections, despite their greater popularity.

130 s prevalence during the 2020 US presidential election did not correspondingly reduce polarization in

131 We show that in past presidential elections, difference among states in their presidential

132 al parties and other organizations to create election districts with increasingly precise political a

133 After the 2020 US presidential election Donald Trump refused to concede, alleging wides

134 The alkyne may bear both election-donating and election-withdrawing substituents.

135 um terms, with effects persisting in various elections even after the signing of a peace agreement.

136 Clinton (Democrat) in the 2016 presidential election exhibited 14% less physical distancing between

137 In 2023, 2.5 y after elections, exposure village clusters had lower IMR (0.46

138 In hypothetical elections for two such positions, men and women listened

139 In the United States, baseless claims about election fraud in 2020 by the losing presidential candid

140 The study period covered five presidential elections from 2000 to 2019.

141 ons for not voting in midterm and general US elections from 2000 to 2020.

142 es the electron transport chain by shuttling elections from NADH and FADH2 to coenzyme Q (CoQ) and cy

143 Removal of free and fair elections from the democratic experience variable result

144 portant in democracies where the accuracy of elections has been prominently questioned.

145 plemented voter identification (ID) laws for elections held in their states.

146 on the outcome of the Russian parliamentary elections held on December 4, 2011.

147 Long before the 5 November US presidential election, I had become ever more concerned that science

148 to play a decisive role in the presidential election in 2004, but they might make a difference in so

149 e participation in the Georgia Senate runoff election in different ways-signaling that voting doesn't

150 US primary elections, the US Senate special election in Georgia, the gubernatorial elections in New

151 y, competence judgments collected before the elections in 2006 predicted 68.6% of the gubernatorial r

152 l election of 2008 and in multiple statewide elections in 2010, citizens exhibited large differences

153 ultiyear program to predict direct executive elections in a variety of countries from globally pooled

154 tching political video clips just before the elections in Israel.

155 focused on nonelectoral outcomes or analyzed elections in large geographic units, such as counties.

156 The Sabah state elections in Malaysia were used as an example for our pr

157 ecial election in Georgia, the gubernatorial elections in New Jersey and Virginia, Donald Trump's pol

158 Our models correctly predicted 80 to 90% of elections in out-of-sample tests.

159 in the United States and European Parliament elections in Sweden, which tend to be viewed as less imp

160 presidential, senatorial, and gubernatorial elections in the home county of the team.

161 tions we observe are in second-order midterm elections in the United States and European Parliament e

162 d survey experiments conducted around recent elections in the United States and India, we assess the

163 gubernatorial elections, the most important elections in the United States next to the presidential

164 to vote (experiment 1) and, in two statewide elections in the United States, voter turnout as assesse

165 of election proximity-that is, closeness to elections in time-on social cleavages related to religio

166 ing and Canonical Election (TRaCE) holds an 'election' in which a set of RNA-seq samples rank transcr

167 of political parties during winner-takes-all elections, in networks of companies competing to establi

168 en earn as much support as men in US general elections increased Democratic primary voters' intention

169 s a range of issues including public health, election integrity and climate.

170 mation can help safeguard the perceptions of election integrity in democracies.

171 implications for understanding the limits of election interference campaigns on social media.

172 ces of misinformation on social media (e.g., election interference, vaccine hesitancy).

173 lling results, which can be used to identify election irregularities.

174 local college football games just before an election, irrelevant events that government has nothing

175 e in elections and increases belief that the election is rigged among people who approve of Trump's j

176 The outcome of the elections is likely to influence implementation of the A

177 A central role of elections is the aggregation of information dispersed wi

178 m-especially following the 2016 presidential election-is highly contentious.

179 their voting behavior, but, for second-order elections, it also reveals evidence of genetic nurture.

180 India in the midst of India's 2014 Lok Sabha elections just before the final votes were cast.

181 pire operating through mass media, political elections, legislation, and even health systems.

182 y, and, as they pass, tensions return to pre-election levels.

183 to the results of the 2000 U.S. presidential election, lung cancer cases in the State of New York, an

184 ential mechanisms, we analyze Twitter posts, election manifestos, and Facebook ads to show that far-r

185 Furthermore, we show that pre-election mass shootings were associated with increased s

186 ightened cardiovascular risk around the 2016 election may be attributable to sociopolitical stress.

187 Elections may not pose as great a risk to social cohesio

188 In the year after hospice election, mean MA spending fell to $57 per enrollee per

189 yl acetate (UA) solution, which has been the election method for the study of morphology in biologica

190 receptor matrix was observed by transmission election microscopy (TEM).

191 We performed cryo-election microscopy and site-specific glycan analysis of

192 high-speed microscopy and ultrastructure by election microscopy, but equipment and expertise is not

193 more likely to run unopposed in the general election, more likely to run for higher office, and less

194 supporters were less likely to lose primary elections, more likely to run unopposed in the general e

195 ges in partisan outcomes between consecutive elections must come from changes in the composition of t

196 he Republican party in the 2020 presidential election (negative), while vaccine hesitancy is not rela

197 health care as an issue in the presidential election of 2004, how this ranking compares with the imp

198 an Life Panel shows that in the presidential election of 2008 and in multiple statewide elections in

199 The recent US presidential election of a person and platform with anti-science bias

200 ing all aspects of human social affairs: the election of Barack Obama, the war in Iraq, and the colla

201 The recent election of Brazil's president brought disputes over dev

202 From many perspectives, the election of Donald Trump was seen as a departure from lo

203 ntal benefits and adjust payments made after election of hospice to align with spending.

204 ignificant rite of passage was marked by the election of pediatric hepatologists to leadership positi

205 These studies have motivated election of TER286 as a clinical candidate.

206 The election of the target gases has been due to their impor

207 We find that election of these routes is determined by venous endothe

208 After an election, should election officials release a copy of each anonymous ball

209 contributed more than $350 million to local election officials to support the administration of the

210 During Argentina's 2019 election on Twitter, we observed a predictable pattern:

211 y voter is mailed a ballot in advance of the election-on electoral outcomes.

212 to live in a country without free democratic elections only if their individual income multiplies by

213 ere neutral and necessary to maintain normal election operations during the pandemic, while critics w

214 ndidates was shown to be a good predictor of election outcomes in several studies.

215 nce for economic indicators as predictors of election outcomes is relatively weak.

216 nts, global polling is a robust predictor of election outcomes, even in developing states.

217 nds on citizens on the losing side accepting election outcomes.

218 ting fraud belief updates given hypothetical election outcomes.

219 ly went to Democratic strongholds and tilted election outcomes.

220 n private election administration grants and election outcomes.

221 d large differences in their expectations of election outcomes.

222 ealthy participants took part in a simulated election paradigm, in which they voted for real-life (bu

223 voting patterns in the 2013 Israeli general elections: Participants who were exposed to the paradoxi

224 ve special attention to field experiments on election participation, environmentally sustainable beha

225 violent crime, impervious areas, evictions, election participation, income, poverty, education, unem

226 ommon knowledge provided by media reports of election polls.

227 elected as the canonical transcript, but the election proceeds through multiple rounds of voting to o

228 I investigate the impact of election proximity-that is, closeness to elections in ti

229 The one-election reduction potentials for the M56L, M56I, and M5

230 s on Twitter during the 2016 US presidential election remains to be clarified.

231 which took place in proximity to the general elections, reported that they tended to vote more for do

232 Victories within 2 weeks of an election reportedly increase the success of the incumben

233 Following the 2020 general election, Republican elected officials, including then-P

234 the Center for Voting Options and Trends in Election Research (CVoter), against national benchmark d

235 conducted, some feature of the observed 2020 election result would be unlikely or impossible.

236 o so, we compile a precinct-level dataset of election results and demographic measures for almost 32,

237 ut the study, and county level gubernatorial election results and state level AAMR trends.

238 throughout the period and when gubernatorial election results were used.

239 ulnerability index, COVID-19 mortality, 2020 election results, and availability of nontraditional vac

240 accination coverage, creating uncertainty in election results, and causing supply chain disruptions,

241 equently, willingness to violently challenge election results.

242 and prediction markets are used to forecast election results.

243 st detecting these statistical properties in election results.

244 le for the representation of census results, election returns, disease incidence, and many other kind

245 ata set with extensive polling data from 146 election rounds.

246 AMI were significantly higher following the election (RR, 1.42; 95% CI, 1.13-1.79).

247 post-state election were attributable to the election's direct effect; (ii) 64.4% of COVID-19 cases i

248 post-state election were attributable to the election's spill-over effects.

249 registration process and by highlighting the election's stakes and the distance between respondents'

250 The 2020 U.S. election saw a record turnout, saw a huge increase in ab

251 we propose Stabilized COre gene and Pathway Election (SCOPE), a tool integrating bootstrapped least

252 ing national debate over the tension between election security and access in a democratic society.

253 ture elections and provide information about election security practices.

254 In the wake of the November 2024 US election, several commentators have suggested that the U

255 In the months before the 2020 U.S. election, several political campaign websites added prec

256 ember 2020 and their policy positions on how elections should be run in light of the COVID-19 outbrea

257 After an election, should election officials release a copy of ea

258 A second study conducted 2 d before the election showed similar perceptions of objectivity versu

259 s a global phenomenon, with implications for elections, state-sanctioned violence, and health outcome

260 winning candidate are no less polarized post-election than those on the losing side.

261 In the context of the 2024 US presidential election, the 2025 Canadian federal election and the 202

262 Since the 2016 US presidential election, the deliberate spread of misinformation online

263 After many elections, the accuracy of the vote count is assessed by

264 ates predicted the outcomes of gubernatorial elections, the most important elections in the United St

265 tical event in 2020 and 2021: the US primary elections, the US Senate special election in Georgia, th

266 d a substantial impact on the outcome of the elections; they also confirm that the presence of observ

267 lude the message, "We may call you after the election to ask about your voting experience." Increasin

268 andidate to a different political party from election to election.

269 iticians who narrowly won or lost a previous election to play behavioral games that provide a measure

270 ring CVD rates in the 2 d following the 2016 election to rates in the same 2 d of the prior week.

271 Nachmias' work was recognized by his election to the National Academy of Sciences and receipt

272 My election to the National Academy of Sciences came just w

273 of his achievements came late in life, with election to the Royal Society of London in 2008 and endo

274 or future information on topics ranging from elections to pandemics, and enabled by the explosion of

275 ranscripts, Transcript Ranking and Canonical Election (TRaCE) holds an 'election' in which a set of R

276 between the 2012 and 2016 U.S. presidential elections using administrative data.

277 to untrustworthy websites during the 2020 US election, using over 7.5 million website visits from 1,1

278 ical implications for the policy mandates of election victories and campaigning and governing strateg

279 Beliefs that the US 2020 Presidential election was fraudulent are prevalent despite substantia

280 al election and the 2025 Polish presidential election, we assigned participants randomly to have a co

281 Ahead of the 2019 European Parliament election, we recorded electroencephalography (EEG) from

282 tion events that occurred during the 2020 US election, we reveal that commonly proposed interventions

283 ited States survey conducted around the 2016 election, we use multilevel models to show that the poli

284 COVID-19 case counts within Sabah post-state election were attributable to the election's direct effe

285 -19 cases in the rest of Malaysia post-state election were attributable to the election's spill-over

286 xcess payments to MA plans following hospice election were estimated as the difference between MA pla

287 s for acute CVD around the 2020 presidential election were examined.

288 on logic behind these claims is that, if the election were fairly conducted, some feature of the obse

289 telling and reelection in the next municipal elections, which suggests that dishonesty might help pol

290 es of a bidding mechanism, the "Compensation Election," which is designed to implement a simple binar

291 on markets, the Iowa Electronic Presidential Election "winner-takes-all" markets.

292 italization in the 5 days following the 2020 election with the same 5-day period 2 weeks prior.

293 entation, we find that vote distributions of elections with alleged fraud show a kurtosis substantial

294 t when we leverage situations where multiple elections with differing incumbent parties occur in the

295 uence the results of a substantial number of elections with impunity.

296 e in Senate, gubernatorial, and presidential elections, with the effect being larger for teams with s

297 e alkyne may bear both election-donating and election-withdrawing substituents.

298 6) following the 2016 American presidential election, women's and men's endorsement of HM predicted

299 ctors are using social media to interfere in elections worldwide.

300 For the 2020 election year, a total of 53 944 donations were made by