ライフサイエンスコーパス: crash

1 arations the pacemaker stopped oscillating ("crashed").

2 object or injured in a fall or motor vehicle crash).

3 tification, coral reef collapses, and market crashes).

4 they had seen nonexistent footage of a plane crash.

5 ow high predictive accuracy of a near-future crash.

6 e, similar to the "black box" in an airplane crash.

7 trophic cascade, caused clam populations to crash.

8 t increased risk of involvement in a vehicle crash.

9 k factors during the seconds leading up to a crash.

10 associated with the risk of involvement in a crash.

11 tapulted forward, backward, or sideways in a crash.

12 ned at 2, 7, and 13 months after an airplane crash.

13 s may contribute to neurological deficits in CRASH.

14 involvement as a driver in a police-reported crash.

15 na use increases the risk of a motor vehicle crash.

16 risk of a heavy-vehicle nonfatal, nonsevere crash.

17 he main outcome variable was police-reported crash.

18 duration is a risk factor for motor vehicle crash.

19 e the role of sleep duration on the risk for crash.

20 in which endogenous price bubbles formed and crashed.

21 onal behaviors underlying market bubbles and crashes.

22 VF) has been linked to poor mobility and car crashes.

23 cal warnings and the risk of subsequent road crashes.

24 ntended to prevent trauma from motor vehicle crashes.

25 l-force event rates predict crashes and near crashes.

26 ted emergency room visits, and fatal vehicle crashes.

27 iving safety errors that can lead to vehicle crashes.

28 n alcohol involvement in fatal motor carrier crashes.

29 decreased quality of life, and motor vehicle crashes.

30 o were involved in 66,138 fatal multivehicle crashes.

31 g alcohol involvement in fatal motor carrier crashes.

32 not differentiate between those with/without crashes.

33 y, and stereoacuity were not associated with crashes.

34 underestimate in the magnitude of population crashes.

35 ng in longer crash pulses than rigid-barrier crashes.

36 bing the energy of projectiles, impacts, and crashes.

37 able on 407 children involved in 235 frontal crashes.

38 .2) compared with women not in motor vehicle crashes.

39 o children involved in frontal motor vehicle crashes.

40 crashes and 63,052 deaths due to motorcycle crashes.

41 e, and distraction) present in almost 90% of crashes.

42 Population-based rates of fatal crashes.

43 -phone use, and the risk of crashes and near-crashes.

44 d, for example, for the mortality due to car crashes.

45 n a market predicts future price changes and crashes.

46 ological testing on drivers involved in such crashes.

47 licensed, this cohort has a greater risk of crashing.

48 A secondary analysis of the CRASH-2 trial (which originally evaluated the effect of

49 The aim of the CRASH-2 trial was to assess the effects of early adminis

50 The CRASH-2 trial was undertaken in 274 hospitals in 40 coun

51 Antifibrinolytic in Significant Haemorrhage (CRASH-2) trial (derivation) and Trauma Audit and Researc

52 s crashes (26.7%), and pedestrian or bicycle crashes (25.3%).

53 ries (48.0%), followed by car, truck, or bus crashes (26.7%), and pedestrian or bicycle crashes (25.3

54 mon trauma mechanisms were motorized vehicle crash (43.9%), fall (27.5%), pedestrian struck by motori

55 5 000), toxic agents (55 000), motor vehicle crashes (43 000), incidents involving firearms (29 000),

56 struck by motorized vehicle (10.7%), bicycle crash (6.3%), and struck by blunt object, fists, or kick

57 Of pregnant women in motor vehicle crashes, 82.9% were hospitalized and discharged without

58 anifest primarily as population die-offs and crashes (86%) rather than unexpected increases, and igno

59 apy froths, fire retardants, and lightweight crash-absorbent structures, presents challenges, because

60 in the X-linked mental retardation syndrome CRASH (acronym for corpus callosum agenesis, retardation

61 esults in untimely electrode breakage due to crashing against a substrate.

62 d by bullets/shrapnel, blasts, motor vehicle crashes, air/water transport, and falls.

63 The adjusted risk for first crash among licensed drivers with ADHD was 1.36 times hi

64 The risk of a crash or near-crash among novice drivers increased significantly if th

65 The risk of a crash or near-crash among novice drivers increased with the performanc

66 es of these pathways and induce an apoptotic crash among them in prostate cancer cells.

67 mong novice drivers and 518 crashes and near-crashes among experienced drivers were identified.

68 of serious medical errors and motor vehicle crashes among interns.

69 ring the study periods, 167 crashes and near-crashes among novice drivers and 518 crashes and near-cr

70 alth care providers to address sleep-related crashes among young drivers.

71 he odds ratios for reporting a motor vehicle crash and for reporting a near-miss incident after an ex

72 ponse to stress is associated with (1) lower crash and near-crash (CNC) rates during their first 18 m

73 Elevated gravitational force and crash and near-crash events were identified, and rates p

74 f 530 heavy-vehicle drivers who had recently crashed and 517 heavy-vehicle drivers who had not.

75 ere were 792,184 deaths due to motor vehicle crashes and 63,052 deaths due to motorcycle crashes.

76 nly air bags were observed in single-vehicle crashes and among male and 16- to 64-year-old drivers.

77 d nights increased the risk for run-off-road crashes and crashes occurring in the late-night hours.

78 to the prompt loss of alpha particles or to crashes and disruptions that are observed.

79 hereas important outcomes included near-miss crashes and driving performance.

80 m.) The correlation between crashes and near crashes and elevated gravitational-force event rates was

81 of BMD, as high trauma (due to motor vehicle crashes and falls from greater than standing height) or

82 (3) Motor vehicle crashes and falls were the 2 leading causes of TBI morta

83 (One mile = 1.6 km.) The correlation between crashes and near crashes and elevated gravitational-forc

84 ated gravitational-force event rates predict crashes and near crashes.

85 nd near-crashes among novice drivers and 518 crashes and near-crashes among experienced drivers were

86 During the study periods, 167 crashes and near-crashes among novice drivers and 518 cr

87 s, including cell-phone use, and the risk of crashes and near-crashes.

88 was to determine the association of MHE with crashes and traffic violations over the preceding year a

89 t agreement between self and DOT-reports for crashes and violations (Kappa 0.90 and 0.80).

90 rtation (DOT)-reports were used to determine crashes and violations over the preceding year.

91 gnificantly associated with prior and future crashes and violations.

92 crash), the crash incidence density (risk of crash), and the exposure prevalence (amount of driving).

93 cent" biarsenical dyes such as FlAsH, ReAsH, CrAsH, and Cy3As.

94 6%) of 82 casualties had died in an aircraft crash, and their bodies were lost at sea; autopsies had

95 odds of injury, adjusting for child, driver, crash, and vehicle characteristics, were 59% lower for c

96 abrupt changes of weather regimes, financial crashes, and human parturition (birth).

97 with decreased medical errors, motor vehicle crashes, and percutaneous injuries.

98 t women hospitalized following motor vehicle crashes are at increased risk of adverse pregnancy outco

99 Road traffic crashes are one of the leading causes of injury and deat

100 was used to determine the relative risk of a crash as a function of demographic variables, miles driv

101 lder than 55 years of age and a road traffic crash as the mechanism of injury.

102 igh risk of drowsiness-related motor vehicle crashes as a result of circadian disruption and sleep re

103 individuals showed effective population size crashes at major points of climatic upheaval.

104 Then, total megafauna biomass crashed, because many non-human megafauna species sudden

105 ding truck characteristics) with the risk of crashing between 2008 and 2011 in the Australian states

106 dary tasks is a major cause of motor vehicle crashes both among teenagers who are novice drivers and

107 proliferation mutants including one mutant, crash&burn (crb), that represents a loss-of-function mut

108 f death for most front seat occupants in car crashes but an increased risk for children.

109 an 4 weeks was associated with motor vehicle crash, but shorter term use was not.

110 eaths from some causes such as motor vehicle crashes, but deaths from gun-related homicide and suicid

111 ncreased the monthly risk of a motor vehicle crash by 9.1 percent (95 percent confidence interval, 3.

112 he risk of heavy-vehicle nonfatal, nonsevere crashes by 2-3 times.

113 reduced risk of alcohol involvement in fatal crashes by motor carrier drivers (odds ratio = 0.77, 95%

114 ion of helmet use with death in a motorcycle crash can be estimated using matched-pair cohort methods

115 ment rate (risk of being involved in a fatal crash) can be thought of as the product of the crash fat

116 d in adulthood, impaired driving and vehicle crashes; cannabis use disorders (CUD), cannabis withdraw

117 The accurate evaluation of crash causal factors can provide fundamental information

118 The results show that crash causation has shifted dramatically in recent years

119 restraint use, sex, age, and all vehicle and crash characteristics, among 128,208 automobile occupant

120 l confounding by motorcycle characteristics, crash characteristics, and other factors that may influe

121 to pilot characteristics, aircraft type, and crash circumstance.

122 is associated with (1) lower crash and near-crash (CNC) rates during their first 18 months of licens

123 er hours per night had an increased risk for crash compared with those who reported sleeping more tha

124 nts of thunderstorms and willful sabotage in crashing computers.

125 On crash cooling to 250 K, 300 bar (about 20 K subcooling),

126 L1 gene can cause the neurological disorder CRASH (corpus callosum hypoplasia, retardation, adducted

127 ession is useful for the analysis of traffic crash data, where occupants are naturally matched in a v

128 vely linked to licensing and police-reported crash data, with an average of 2 years of follow-up.

129 New Jersey's statewide driver licensing and crash databases for 2004 through 2014.

130 e prevalence of alcohol involvement in fatal crashes decreased by 80% among motor carrier drivers and

131 performance and increasing the risk of near-crash drive events.

132 percent) and increased the monthly risk of a crash during the commute from work by 16.2 percent (95 p

133 6.7%) of the 1801 drivers were involved in a crash during the observation interval.

134 2.8%) and 4715 of 13221 without ADHD (35.7%) crashed during the study period.

135 nalyzed emergency department visits for road crashes during a baseline interval before the warning an

136 e pregnancy outcomes following motor vehicle crashes during pregnancy.

137 rgency department, as compared with 273 road crashes during the 1-year subsequent interval, represent

138 vated gravitational force and crash and near-crash events were identified, and rates per miles driven

139 ance measures included lane excursions, near-crash events, and drives terminated because of failure t

140 comprising 905 injurious and property damage crash events, the magnitude of which allows the first di

141 The statistical signature of rare "flight-crash" events, associated with fast particle deceleratio

142 ash) can be thought of as the product of the crash fatality rate (risk of dying given a crash), the c

143 re prevalences were greater than that of the crash fatality rates.

144 r night significantly increased the risk for crash for young drivers.

145 ere associated with lower incidence of fatal crashes for 16-year-old drivers, compared with programs

146 Crashes for individuals who had less sleep per night (on

147 th overall survival after being injured in a crash (for blacks, odds ratio (OR) = 0.69, 95% confidenc

148 ificantly higher proportion of patients with crashes had MHEICT compared to MHESPT, both self-reporte

149 Extinctions or severe population crashes have accumulated steadily since the 1970s and 19

150 disparities in survival after motor vehicle crashes have examined only population-based death rates

151 The Asiana Airlines flight 214 crash highlights the need to plan for high use of advanc

152 Drivers' crash histories, truck details, driving schedules, payme

153 at the Zipf exponent increases during market crashes, implying that firms go bankrupt with larger val

154 Mechanism was motor vehicle crash in 50%, fall in 11%, pedestrian struck in 11%, and

155 were killed within 1 hour of a motor vehicle crash in 6 US states (California, Hawaii, Illinois, New

156 could explain why some preparations seem to crash in one way and some in another.

157 d reflect an increase in pyrite burial and a crash in the marine sulfate reservoir during ocean deoxy

158 drivers at potential increased risk of a car crash in the short or long term.

159 month substantially increased the risk of a crash in the subsequent month (odds ratio = 1.07, 95% co

160 antihistamines on the risk of motor vehicle crashes in 1986-2004.

161 TBI deaths from motor vehicle crashes in children aged 0-14 years and adults aged 65 y

162 , and high-fatality-rate areas revealed that crashes in high-fatality-rate areas were more likely tha

163 gh-fatality-rate areas were more likely than crashes in other areas to have occurred under instrument

164 f MHEICT patients with cirrhosis experienced crashes in the preceding year compared to those without

165 Crashes in those with/without MHEICT and MHESPT were com

166 fatality rates from motor-vehicle accidents (crashes in US usage) are higher in France than in the US

167 regnant women hospitalized for motor vehicle crashes in Washington State from 1989 to 2001 (n = 582).

168 ignificant change was observed in subsequent crashes in which patients were pedestrians or passengers

169 year baseline interval, there were 1430 road crashes in which the patient was a driver and presented

170 nges, their networks became nonrhythmic, or "crashed", in a reversible fashion.

171 Fatal crash incidence among teen drivers increased with age, f

172 The relative contributions of the crash incidence densities and exposure prevalences were

173 lity rate (risk of dying given a crash), the crash incidence density (risk of crash), and the exposur

174 re associated with substantially lower fatal crash incidence for 16-year-old drivers but somewhat hig

175 L programs were associated with higher fatal crash incidence for 18-year-old drivers (rate ratio, 1.1

176 6-year-old drivers but somewhat higher fatal crash incidence for 18-year-old drivers.

177 ated with an increased risk of motor vehicle crash (incidence rate ratio = 2.06, 99% confidence inter

178 ples of these in the domain of motor vehicle crashes include policy change and enforcement of laws co

179 4) TBI mortality attributed to motor vehicle crashes increased for pedestrians and motorcyclists in a

180 Alcohol consumption, motor vehicle crashes, injuries, quality of life, function, mortality,

181 bjected to neuropathic pain by sciatic nerve crash injury (SNI).

182 cluding damage from hurricanes, stock market crashes, insurance claims, flooding, and earthquakes.

183 mantis either failed to grasp the target or crashed into it head first.

184 Detailed crash investigation and clinical data were available on

185 Case series crash investigation data and clinical injury information

186 ar field loss were significant predictors of crash involvement (P < 0.05).

187 n between ADHD and both driver licensing and crash involvement and whether it varies by sex, licensin

188 cular lens implantation had half the rate of crash involvement during the follow-up period compared w

189 Population-based rates of fatal crash involvement for 16-, 17-, 18-, and 19-year-old dri

190 The fatal crash involvement rate (risk of being involved in a fata

191 s aimed at different components of the fatal crash involvement rate.

192 Fatal crash involvement rates increased with age.

193 Crash involvement through December 1997 was determined f

194 surgery group (n = 103), the rate ratio for crash involvement was 0.47 (95% confidence interval, 0.2

195 n and visual attention factors in automobile crash involvement.

196 oss, and UFOV were significant predictors of crash involvement.

197 ficant protective effect against the risk of crash involvement.

198 A probability sample of 10927 crashes involving 17132 restrained children, representin

199 A probability sample of 3616 crashes involving 4243 children, weighted to represent 5

200 is of quarterly 1986-2007 incidence of fatal crashes involving drivers aged 16 to 19 years for all 50

201 s, but association of MHE with motor vehicle crashes is unclear.

202 cause of these symptoms, collectively termed CRASH, is not clear.

203 icides (superlinear) and fatal events in car crashes (isometric), we find sublinear scaling behavior

204 Consequently, problems such as a program crashing may occur that leave a user baffled.

205 tion, when bubbles burst, homogenous markets crash more severely.

206 Moreover, three CRASH mutations in the L1 cytoplasmic domain (1194L, S12

207 nts who had offspring die in a motor vehicle crash (MVC).

208 Motor vehicle crashes (MVCs) are a major public health problem.

209 Motor vehicle crashes (MVCs) remain a leading cause of injury-related

210 ad not been hospitalized for a motor vehicle crash (n = 17,274).

211 extended duration, documented motor vehicle crashes, near-miss incidents, and incidents involving in

212 Eleven near-crashes occurred in 6 of 16 postnight-shift drives (37.5

213 Police-reported motor vehicle crash occurrence involving patients who elected to have

214 reased the risk for run-off-road crashes and crashes occurring in the late-night hours.

215 tions can operate before, during, or after a crash occurs at the levels of driver capacity, vehicle a

216 nificantly increased risk of a crash or near-crash (odds ratio, 2.49; 95% CI, 1.38 to 4.54); the risk

217 were associated with increased likelihood of crashing (odds ratio = 3.42, 95% confidence interval: 2.

218 an urban level I trauma center following the crash of Asiana Airlines flight 214 on July 6, 2013.

219 crayfish in Lake Naivasha, Kenya, after the crash of submerged macrophytes and associated macroinver

220 rating effector T cells will live beyond the crash of the immune response (IR) and develop into funct

221 Sleepiness plays an important role in major crashes of commercial vehicles.

222 dy of children aged younger than 16 years in crashes of insured vehicles in 15 states, with data coll

223 Sleepiness may account for up to 20% of crashes on monotonous roads, especially highways.

224 8,208 automobile occupants involved in fatal crashes on US roadways during 1990-2002.

225 s (to our knowledge) of causal factors using crashes only.

226 Despite the high impact of the crash, only 3 persons (<1%) died, including 1 in-hospita

227 ted with a significantly increased risk of a crash or near-crash (odds ratio, 2.49; 95% CI, 1.38 to 4

228 The risk of a crash or near-crash among novice drivers increased signi

229 The risk of a crash or near-crash among novice drivers increased with

230 for safety reasons, compared with zero near-crashes or early drive terminations during 16 postsleep

231 ate adjusted hazard ratios for licensing and crash outcomes through age 25 years.

232 ssociated with increased risks of automobile crash, particularly during a commute from work.

233 ional Trauma Data Bank identified motorcycle crash patients from 2002 to 2007.

234 Unhelmeted motorcycle crash patients suffer more severe brain injuries, consum

235 n of approximately 45% in the annual rate of crashes per 1000 patients after the warning (4.76 vs. 2.

236 on associated with cataract surgery was 4.74 crashes per million miles of travel.

237 66 aviation crashes, yielding a rate of 5.1 crashes per million pilot flight hours.

238 d for investigating the potential benefit of crash prevention interventions aimed at different compon

239 nd accelerated on sleds, resulting in longer crash pulses than rigid-barrier crashes.

240 tality, cardiovascular events, motor vehicle crashes, quality of life, and harms.

241 hosis and MHEICT have a significantly higher crash rate over the preceding year and on prospective fo

242 for older driver safety, reducing subsequent crash rate.

243 es a challenging work environment and a high crash rate.

244 nterestingly, mixed stressors did not affect crash rates in startling events, suggesting that the cop

245 There was no difference between the at-fault crash rates of the patients with glaucoma and those with

246 are naturally matched in a vehicle and where crash-related confounders may be difficult or impossible

247 Critical outcomes included crash-related mortality and real crashes, whereas import

248 In this Bridgerian Crash, relative abundance shifted from very diverse, eve

249 do, the extent to which they have increased crash risk compared with adolescents without ADHD.

250 Motor vehicle crash risk in older drivers is elevated in those with ca

251 lack of an association between pilot age and crash risk may reflect a strong "healthy worker effect"

252 ersists into adolescence, when motor vehicle crash risk peaks.

253 Crash risk remained fairly stable as the pilots aged fro

254 aradoxically, associated with a reduction in crash risk, whereas for those with poorer levels of visi

255 but not all, tasks commonly associated with crash risk.

256 rse UFOV score was associated with increased crash risk.

257 visual fields were associated with increased crash risk.

258 specific mechanisms by which ADHD influences crash risk.

259 devices were also associated with increased crash risk.

260 ated with an increased risk for run-off-road crashes (RR, 1.55; 95% CI, 1.21-2.00).

261 Furthermore, these crashes seemed to fall into two qualitatively different

262 Compared with women not in motor vehicle crashes, severely and non-severely injured women were at

263 , have demonstrated the relationship between crash severity, as measured by delta V and injury severi

264 nt use, point of impact, vehicle weight, and crash severity.

265 who wish to reduce their risk of death in a crash should wear their own restraint and should ask oth

266 The authors plotted crash sites on a digital map; rates were computed at reg

267 Of the 14,051 general aviation crashes studied, 31% were fatal.

268 of childhood injury deaths are motor vehicle crashes, submersion injury, homicide, suicide, and fires

269 formation were reviewed from a child-focused crash surveillance system.

270 e current study, we examined 3 components of crash survival by race/ethnicity: survival overall, surv

271 eiotropic phenotypes that are similar to the CRASH symptoms; thus the C. elegans lad-1 mutant provide

272 esult in a broad spectrum of phenotypes (the CRASH-syndrome) that include devastating neurological di

273 t time at baseline had a 57% lower risk of a crash than their less experienced counterparts (relative

274 mic spectra; and (iii) a near-future biomass crash that will unfavorably impact humans and their dome

275 e crash fatality rate (risk of dying given a crash), the crash incidence density (risk of crash), and

276 After the crash, the global ecosystem gradually recovered into a n

277 host individuals; subsequent host population crashes therefore occur before Bd is limited by density-

278 gested that environmental oxygen levels then crashed to very low levels during the subsequent extreme

279 The crash type is determined by the precise parameters of th

280 es similar to those found in nature, and can crash via two qualitatively different mechanisms that re

281 group is unknown, for example, motor-vehicle crash victims brought to an emergency department, who ma

282 MHEICT (Odds ratio: 4.51) and prior year crash/violation (Odds ratio: 2.96) were significantly as

283 Patients then underwent 1-year follow-up for crash/violation occurrence.

284 6) were significantly associated with future crash/violation occurrence.

285 T patients had a significantly higher future crashes/violations compared to those without (22% vs 7%,

286 18-74 years, involvement in a motor vehicle crash was documented.

287 The average delta V for all crashes was 29 +/- 16.9 kph [18 +/- 10.5 mph (range, 5-1

288 f alcohol-related mortality in motor vehicle crashes was also lower during periods when two other typ

289 dren, representing 210926 children in 136734 crashes was collected between December 1, 1998 and May 3

290 ghted to represent 56 593 children in 48 257 crashes was collected between December 1, 1998, and May

291 f alcohol-related mortality in motor vehicle crashes was lower when laws specifying a blood alcohol c

292 birth trauma, or injury caused by vehicular crash were excluded.

293 126 case women in the first month after the crash were significantly higher than the scores of 102 c

294 Motorcycle crashes were the most common road traffic injuries (48.0

295 es included crash-related mortality and real crashes, whereas important outcomes included near-miss c

296 ' gestation during the first month after the crash with mean scores from a control group (n = 102) wi

297 from 1980 through 1998, for motorcycles that crashed with two riders and either the driver or the pas

298 fatality rates in 1983-1998 general aviation crashes within the continental United States.

299 to a decrease in subsequent trauma from road crashes, yet they may also exacerbate mood disorders and

300 of 12.9 million flight hours and 66 aviation crashes, yielding a rate of 5.1 crashes per million pilo