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 nal and recreational use and harms (eg, road crashes).

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

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

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

7 he main outcome variable was police-reported crash.

8 duration is a risk factor for motor vehicle crash.

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

10 they had seen nonexistent footage of a plane crash.

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

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

13 trophic cascade, caused clam populations to crash.

14 t increased risk of involvement in a vehicle crash.

15 associated with the risk of involvement in a crash.

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

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

18 ack of early indicators that precede culture crash.

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

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

21 in which endogenous price bubbles formed and crashed.

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

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

24 n a market predicts future price changes and crashes.

25 vastly underestimates the risk of population crashes.

26 ological testing on drivers involved in such crashes.

27 onal behaviors underlying market bubbles and crashes.

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

29 cal warnings and the risk of subsequent road crashes.

30 ntended to prevent trauma from motor vehicle crashes.

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

32 iving safety errors that can lead to vehicle crashes.

33 n alcohol involvement in fatal motor carrier crashes.

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

35 g alcohol involvement in fatal motor carrier crashes.

36 not differentiate between those with/without crashes.

37 y, and stereoacuity were not associated with crashes.

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

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

40 able on 407 children involved in 235 frontal crashes.

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

42 o children involved in frontal motor vehicle crashes.

43 ise to emergent phenomena such as bubbles or crashes.

44 underestimate in the magnitude of population crashes.

45 ted emergency room visits, and fatal vehicle crashes.

46 decreased quality of life, and motor vehicle crashes.

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

48 Population-based rates of fatal crashes.

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

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

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

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

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

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

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

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

57 5 000), toxic agents (55 000), motor vehicle crashes (43 000), incidents involving firearms (29 000),

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

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

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

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

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

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

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

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

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

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

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

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

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

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

72 at high population densities, resulting in a crash and a new population state with resilient ages and

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

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

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

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

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

78 urses resulting in elevated rates of vehicle crashes and crash-related injuries and deaths.

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

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

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

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

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

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

85 e morbidity and mortality from motor vehicle crashes and may help reshape cities to promote healthy u

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

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

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

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

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

91 ted with economic conditions and because car crashes and suicides may also be linked to the macroecon

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

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

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

95 gnificantly associated with prior and future crashes and violations.

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

97 6%) of 82 casualties had died in an aircraft crash, and their bodies were lost at sea; autopsies had

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

99 ates-for drug-involved deaths, motor vehicle crashes, and suicide by means other than poisoning-were

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

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

102 rch, the drivers of population eruptions and crashes are still not fully understood and the existing

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

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

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

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

107 with expected mortality, estimated using the CRASH basic model.

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

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

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

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

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

113 xtreme climate events often cause population crashes but are difficult to account for in population-d

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

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

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

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

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

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

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

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

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

126 Crashes could maintain ZPG in slow-growing populations b

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

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

129 Reforms may also have reduced motor vehicle crash deaths but were not associated with a change in su

130 crease in numbers of opioid-overdose and car-crash deaths compared with what would have been expected

131 credible interval: -21, -12), motor vehicle crash deaths were down 9% (95% credible interval: -14, -

132 er types of mortality, such as motor vehicle crash deaths, may also be linked to opioid use.

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

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

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

136 6.7%) of the 1801 drivers were involved in a crash during the observation interval.

137 2.8%) and 4715 of 13221 without ADHD (35.7%) crashed during the study period.

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

139 e pregnancy outcomes following motor vehicle crashes during pregnancy.

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

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

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

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

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

145 ver, repeated density-independent population crashes followed by population expansion may allow lotte

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

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

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

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

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

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

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

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

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

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

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

157 However, a crash in adaptive diversity follows, caused by highly fi

158 plantations, causing widespread concern of a crash in biodiversity.

159 lii) in NW Europe is recovering from a large crash in numbers, but most former colonies remain unoccu

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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 ocked pastures have led to severe population crashes, indicating that increasingly frequent rain-on-s

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

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

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

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

185 ly results in task failure (e.g., missing or crashing into the boundary).

186 Detailed crash investigation and clinical data were available on

187 Case series crash investigation data and clinical injury information

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

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

190 ) are associated with incident motor vehicle crash involvement by older drivers.

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

192 s' mesopic contrast sensitivity deficits and crash involvement regardless of the time of day.

193 Crash involvement through December 1997 was determined f

194 n and visual attention factors in automobile crash involvement.

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

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

197 The COVID-19 economic crash is idiosyncratic because of its virtual standstill

198 The diversity crash is likely to be a general feature of asexual evolu

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

200 reducing mortality in low-risk motor vehicle crashes is unclear.

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

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

203 We mimicked an economic 'crash', manually severing part of the fungal network (Rh

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

205 observed in patients following motor vehicle crash meeting only kinetic elements of Vittel criteria.

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

207 -body CT in patients following motor vehicle crash (MVC) meeting only kinetic elements of the Vittel

208 evere injury from a firearm or motor vehicle crash (MVC) treated at 3 level I trauma centers in Bosto

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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 , whether defined as all crashes or at-fault crashes only (all p > 0.05).

226 5% CI: 1.01-1.63, respectively) and at-fault crashes only (RR: 1.50, 95% CI: 1.16-1.93; RR: 1.38, 95%

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

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

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

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

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

232 ated with crash rate, whether defined as all crashes or at-fault crashes only (all p > 0.05).

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

234 is the misclassification of suicides as car crashes or opioid overdoses.

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

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

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

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

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

240 to monitor algal biomass production and pond crash prevention.

241 s may be early indicators for impending pond crashes, providing a useful tool to monitor algal biomas

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

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

244 nearly equal to that of young drivers whose crash rate is the highest among all age groups.

245 Older drivers have a crash rate nearly equal to that of young drivers whose c

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

247 ensitivity were associated with an increased crash rate when considered for all crashes (rate ratio (

248 ontrast sensitivity were not associated with crash rate, whether defined as all crashes or at-fault c

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

250 increased crash rate when considered for all crashes (rate ratio (RR): 1.36, 95% CI: 1.06-1.72; RR: 1

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

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

253 ing in elevated rates of vehicle crashes and crash-related injuries and deaths.

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

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

256 ty testing may not help us understand future crash risk at the older-driver population level.

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

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

259 nabis use has been associated with increased crash risk, but the effect of cannabidiol (CBD) on drivi

260 is associated with higher driving simulator crash risk, though mechanisms explaining this relationsh

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

262 devices were also associated with increased crash risk.

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

264 rse UFOV score was associated with increased crash risk.

265 visual fields were associated with increased crash risk.

266 specific mechanisms by which ADHD influences crash risk.

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

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

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

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

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

272 To our surprise, bats crashed straight into large (aperture) walls with weak e

273 intentional injuries including motor vehicle crashes, suicide, and homicide.

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

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

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

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

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

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

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

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

282 ungus: compensated for resource loss in the 'crash' treatment by transferring phosphorus from alterna

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

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

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

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

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

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

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

290 18-74 years, involvement in a motor vehicle crash was documented.

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

292 at they did detect the wall, suggesting that crashing was not a result of limited sensory sensitivity

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

294 Crashes were coded from the video and other data streams

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

296 multiple readouts per patient and avoid ETL crashes when running a tranSMART loading routine.

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

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

299 gen or grazer infestation, resulting in pond crashes with high economic costs.

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