ライフサイエンスコーパス: street

1 of ongoing action (e.g., of walking into the street).

2 t people (ie, self, partner, or passersby on street).

3 91% were socially isolated, and 69% lived in street.

4 merican anti-capitalist movement Occupy Wall Street.

5 merican anticapitalist movement, Occupy Wall Street.

6 progenitors are thought to follow a one-way street.

7 nses were attenuated after walking on Oxford Street.

8 ghways, uphill urban streets, and flat urban streets.

9 ere 40-100% larger than those of low-traffic streets.

10 rinking water based on residence in specific streets.

11 l number of taxis can scan a large number of streets.

12 al acuity necessary for navigating rooms and streets.

13 of street heroin use (primary), days of any street-acquired opioids in the prior 30 days (noninferio

14 d (CMS) were obtained to identify the office street addresses of Oklahoma ophthalmologists and optome

15 roved asthma self-management; acquisition of street and fire safety skills; and sexual abstinence.

16 ntly, it has been challenging to engage Wall Street and large pharmaceutical companies in radiopharma

17 n behaviors at 50 m road segments on surface streets and 90 m segments on highways relative to median

18 levels after riding on high-traffic arterial streets and on a path through a high-exposure industrial

19 Previous studies indicate that the design of streets and sidewalks can influence physical activity am

20 Although individuals can walk on streets and sidewalks, walking loops in parks offer a se

21 d in places with policies to promote gridded streets and similar New Urbanist design principles.

22 cing P movement from vegetated landscapes to streets and storm drains.

23 ries and driving speed limits of every road, street, and highway in the United States from the OpenSt

24 ldest fauna, from the Blue Lias Formation of Street, and nearby localities, in Somerset, UK (Earliest

25 uphill highways, flat highways, uphill urban streets, and flat urban streets.

26 Cocktail parties, busy streets, and other noisy environments pose a difficult c

27 better able to recognize friends across the street (AOR, 1.07) and had no difficulty reading printed

28 better able to recognize friends across the street (AOR, 1.71) and had no difficulty reading printed

29 within the existing network) and expansion (streets are added at the margin of the network) and a gr

30 work indicates growth through densification (streets are added within the existing network) and expan

31 ines claimed that corpses thrown into Syrian streets are causing cutaneous leishmaniasis (CL) outbrea

32 K), here we show that, specifically when new streets are entered during navigation of the city, right

33 ave lower orientation/length entropies - the streets are more tightly ordered and form denser network

34 If streets are shown to be barriers to disease vectors, cit

35 al disorder measure constructed from virtual street audit data.

36 Virtual street audits are a novel method for assessing neighborh

37 waist- and knee-deep waters at Chicago 63rd Street Beach, an embayed, tideless, freshwater beach wit

38 analyses, multiple features of Philadelphia streets, buildings, and natural surroundings were associ

39 environmental neighborhood features, such as streets, buildings, and natural surroundings, and severe

40 e environment (e.g., the coffee shop on 10th Street), but rather is involved in recognizing the gener

41 negative at baseline were recruited from the streets by project outreach workers in three cities in s

42 Street canopy exerted opposing effects on loading, where

43 A potential occurs in the morning-time urban street canyon environment, for which our model can only

44 ined through action at the scale of a single street canyon or across city-sized areas of canyons.

45 e that rapid chemical processes occur in the street canyon with production of secondary particles fro

46 de environment, 2.6.10(15) (kgfuel)(-1) in a street canyon, and 2.9.10(15) (kgfuel)(-1) in an on-road

47 lebone Road), which well represents an urban street canyon.

48 d with measurements likely due to effects of street canyons and nonhighway particle sources.

49 deposition by the planting of vegetation in street canyons can reduce street-level concentrations in

50 rsion environment close to the source (e.g., street canyons, position and dimensions of buildings, ro

51 ically the enhanced residence time of air in street canyons.

52 nsity was objectively assessed within a 1 km street catchment of a participant's residence.

53 Leaves have been collected close to streets characterized by heavy traffic and within urban

54 They and street children are more likely to be moderately-severel

55 strategy was used to search the databases: "street children" OR "street youth" OR "homeless youth" O

56 measures have been proposed such as improved street cleaning and the use of dust suppressants.

57 .52-10.50; p<0.05) after walking down Oxford Street compared with Hyde Park.

58 deposition of nutrient-rich leaf litter onto streets connected to storm drains.

59 The street-connected children and youth who provided reasons

60 nger, (2) participants met our definition of street-connected children and youth, and (3) the quantit

61 lidate changes over time in multidimensional street connectivity measures based on graph-theoretic an

62 ons, the number of walking destinations, and street connectivity over time were associated with great

63 cial destinations, walking destinations, and street connectivity were associated with greater increas

64 use, number of destinations, bus access, and street connectivity) were created using geographic infor

65 ood walkability (especially land-use mix and street connectivity), local access to public transit sto

66 ed residential density, land use mix-access, street connectivity, aesthetics, and safety.

67 ly related to perceived land use mix-access, street connectivity, infrastructure, aesthetics, safety,

68 ese results demonstrate that vegetation near streets contributes substantially to stormwater nutrient

69 estrians were accurate and reliable in their street crossing decision-making ability when using eithe

70 Accuracy and reliability in street crossing decision-making were calculated for each

71 eliable (P > 0.05) but inaccurate with their street crossing decisions (P < 0.05).

72 d pedestrians can make accurate and reliable street crossing decisions like those of normally sighted

73 subjects were the least accurate with their street crossing decisions under the hearing only conditi

74 ly impaired, and blind pedestrians at making street crossing decisions using visual and/or auditory i

75 Significant differences in street-crossing accuracy were found as a function of age

76 Street-crossing decision accuracy was computed for each

77 calculating the discriminability (d') of the street-crossing decision variable for all gap pairs and

78 Street-crossing decision-making precision was computed a

79 ound that all subjects were precise in their street-crossing decisions (P = 0.55).

80 Street-crossing decisions in 13 AMD subjects, and 20 you

81 We determined whether the street-crossing decisions of subjects with age-related m

82 antly affected a subject's accuracy in their street-crossing decisions.

83 significantly a subject's precision in their street-crossing decisions.

84 lly-sighted subjects made the least accurate street-crossing decisions.

85 ear function (t(COG)) and subjects' measured street-crossing time.

86 the positive outcome of safely completing a street-crossing with the situation 'the car approaching

87 retention, these urban watersheds have high street density that enhanced transport of P-rich materia

88 Once laid down, the pattern of streets determines urban form and the level of sprawl fo

89 The street drug "bath salts" are psychoactive mixtures of ca

90 ne use was detected, associated with a cheap street drug called ''sisa'' (related to marginal conduct

91 ond-generation' analogs have appeared in the street drug marketplace, including 4-methyl-N-ethylcathi

92 ved mortality showed that intoxications with street drugs and "other toxins" have a significant highe

93 icularly with the increasing availability of street drugs and increasing accessibility to prescriptio

94 Street drugs had the highest mortality 2 years after ICU

95 ged illicit synthetic cannabinoid infused in street drugs that have been associated with numerous ove

96 d its derivatives have a low lethal dose and street drugs which contain such compounds may lead to de

97 ol(s), 2) analgesics, 3) antidepressants, 4) street drugs, 5) sedatives, 6) poisoning (carbon monoxid

98 ce water provides evidence of sources (e.g., street dust and wastewater effluent) in addition to wet

99 l activity reflects global properties of the street entered.

100 eds and strongly related to tree canopy over streets, especially for phosphorus.

101 A few days later, they walked on a street for 1 h.

102 vision were measured along an un-signalized street for nine different gap times.

103 otographs and line drawings of beaches, city streets, forests, highways, mountains, and offices.

104 ing such as building orientation and access, street furnishings, and safety and traffic calming measu

105 no difficulty recognizing friends across the street (general population AOR, 1.24 [95% CI, 1.22-1.26]

106 lion, is investigated when exposed to vortex streets generated by cylindrical bluff bodies.

107 s source by studying decomposition in lawns, street gutters, and catch basins during two winters.

108 Most precarious patients living in street have a higher mortality rate.

109 Over the last two decades, however, new streets have become significantly more connected and gri

110 older attending their first visit at Thomas Street Health Center in Houston, Texas, between 1/1/2003

111 nd the proportion of urinalyses positive for street heroin markers (margin, 10% of the observed rate

112 me was 50% or more of negative specimens for street heroin on weekly urinalysis during weeks 14-26.

113 efficacy outcomes were self-reported days of street heroin use (primary), days of any street-acquired

114 analysis (-1.44; 90% CI, -3.22 to 0.27) for street heroin use, although the margin of 4 days was not

115 etralogy of Fallot patients and Great Ormond Street Hospital (GOSH), London, United Kingdom (UK) medi

116 iatric ophthalmology clinics at Great Ormond Street Hospital and Moorfields Eye Hospital and, in the

117 ic Ophthalmology departments at Great Ormond Street Hospital and Moorfields Eye Hospital, and, in the

118 (H1N1)-positive patients at the Great Ormond Street Hospital between January and March 2016.

119 arity, Children with Cancer UK, Great Ormond Street Hospital Children's Charity, Olivia Hodson Cancer

120 Center Ethics Committee and the Great Ormond Street Hospital Ethics Committee; both committees waived

121 NG: Moorfields Eye Hospital and Great Ormond Street Hospital, London (United Kingdom).

122 ho were undergoing treatment at Great Ormond Street Hospital, United Kingdom, in 2015.

123 7 pDGS patients in follow-up at Great Ormond Street Hospital.

124 Our findings demonstrate that street imagery has the potential complement traditional

125 We applied a deep learning approach to street images for measuring spatial distributions of inc

126 rement platform and repeatedly sampled every street in a 30-km(2) area of Oakland, CA, developing the

127 g to do a 2 h walk either along a commercial street in London (Oxford Street) or in an urban park (Hy

128 Streets in new developments in 90% of the 134 most popul

129 that cause children and youth to turn to the streets in the first place, in all regions of the world.

130 t vortical structures: (i) von Karman vortex streets in the lower layers of vegetated canopies, (ii)

131 on (OR, 3.00; 95% CI, 0.96-9.37) and unpaved streets in the neighborhood (OR, 2.14; 95% CI, 0.71-6.43

132 l ambient levels of air pollution along busy streets in view of these negative health effects.

133 as "if traffic light is green then cross the street." In most cases, however, more complex rule sets

134 are significant positives to working on Wall Street, including exposure to cutting-edge clinical/tran

135 ts: empty parking lots, suburban residential streets, intermediate (1- or 2-lane) roads, highways, ru

136 able Children's Institutions (CCIs), and 100 street-involved children.

137 olicies developed or implemented to mitigate street involvement are not responsive to the needs of th

138 ren and youth who provided reasons for their street involvement infrequently identified delinquent be

139 of children and youth's reported reasons for street involvement is lacking.

140 The most commonly reported reason for street involvement was poverty, with a pooled-prevalence

141 youth, and (3) the quantitative reasons for street involvement were reported.

142 ng and developed countries as the reason for street involvement, with a pooled prevalence of 26% (95%

143 w reported family conflict as the reason for street involvement, with a pooled prevalence of 32% (95%

144 udies that reported quantitative reasons for street involvement.

145 imate change in The New York Times, The Wall Street Journal, and USA Today from 1985 to 2014 (n = 34,

146 absorbance, we compared how four alternative street lamp technologies affect the visual abilities of

147 The introduction of broad spectrum street lamps could therefore alter the balance of specie

148 Emissions from four street leaks ranged from 9200 to 38,200 L CH4 day(-1) ea

149 Entropy and street length increase, because of spreading, with dista

150 celona, samples of fine PM were collected at street level at sites with variable traffic density.

151 At street level on the same days, the mean BC and PM2.5 con

152 Substantial street-level air quality improvements can be gained thro

153 yielding rapid and sustained improvements in street-level air quality in dense urban areas.

154 g of vegetation in street canyons can reduce street-level concentrations in those canyons by as much

155 Street-level concentrations of nitrogen dioxide (NO(2))

156 e value of using computer vision methods and street-level imagery to understand the physical dynamics

157 reet View, which provides publicly available street-level imagery with nearly complete coverage of th

158 ppearances of neighborhoods from time-series street-level imagery.

159 iation of 15 PM2.5 elements collected at 150 street-level locations in New York City during December

160 of density of retail, public transport, and street-level movement density, which were modelled from

161 ion indicators were incarceration (n=38) and street-level policing (n=39), while the most frequent HI

162 March 2012; concurrently water samples from street-level taps in piped distribution systems and from

163 s are considerably higher than ambient urban street levels and that further monitoring and investigat

164 ion is signaled by a sensory stimulus (e.g., street light), subjects typically learn to respond with

165 The presence of street lighting (odds ratio [OR], 0.24; 95% CI, 0.09-0.7

166 nism driving moth declines, and suggest that street lighting potentially impacts upon pollination by

167 should broaden their focus from residential street lighting to include security lighting within manu

168 ults show code violation, public health, and street lighting were the top three accurate predictors w

169 Under a scenario for brighter street lighting, the area of accessible land cover was f

170 lly when in front of another vehicle, and in street lighting-other drivers can better avoid hitting t

171 al impact of scenarios for future changes to street lighting.

172 unlit sites, we found significant effects of street lighting: moth abundance at ground level was halv

173 n this study, we sought to determine whether street lights could limit moth dispersal and whether the

174 The community-level effects of existing street lights on moths and their biotic interactions hav

175 These results provide evidence for street lights to limit moth dispersal, and that they see

176 e sex-specific attraction radii for moths to street lights.

177 work indicates that urban trees adjacent to streets likely represent a major source of P pollution i

178 from network analyses of through movement of street links within the defined catchment.

179 ks were sampled at a highway and an arterial street location in the San Francisco Bay Area, spanning

180 remove 4-6.5 kg of food per year in a single street median, reducing its availability to less desirab

181 es of cookies, potato chips, and hot dogs in street medians (24 sites) and parks (21 sites) in New Yo

182 Even small green spaces such as street medians provide ecosystem services that may compl

183 re 100-200% larger than those of low-traffic streets; modeled effects of high-traffic streets on brea

184 omena of the Arab Spring and the Occupy Wall Street movement posit the question of whether the active

185 "Rohypnol" or "Rophy" among other trade and street names, is an extremely potent benzodiazepine that

186 ent high frequency of 'trucks passing on the street near home' [2.59 (1.48-4.52), 'almost all the tim

187 rk access were assessed in 1.0 km and 0.5 km street network buffers around each participant's residen

188 series of urban sprawl, as measured through street network connectivity, in the United States from 1

189 don Authority, based on the evolution of its street network during the last two centuries.

190 s long standing green belt, we show that its street network dynamics can be described as a fractal sp

191 tic political communication, the Occupy Wall Street network exhibits higher levels of locality and a

192 The urban street network is one of the most permanent features of

193 lytically determine the fraction of a city's street network sensed by a fleet of taxis during a day.

194 aces that were built with a low-connectivity street network tend to stay that way, even as the networ

195 land use patterns and characteristics of the street network that are health promoting.

196 asured through the local connectivity of the street network.

197 nal, and city-level trends since 1975 in the street-network disconnectedness index (SNDi), based on e

198 for public use a county-level version of our street-network sprawl dataset comprising a time series o

199 ly more connected and grid-like; the peak in street-network sprawl in the United States occurred in a

200 We identify persistence in street-network sprawl, indicative of path-dependent proc

201 We present a global time series of street-network sprawl-that is, sprawl as measured throug

202 near doubling in the relative frequency of a street-network type characterized by high circuity, typi

203 within planar networks and apply them to the street networks of 41 British cities, whose geometric ev

204 The results show that the street networks of the old central parts of the cities h

205 the movements of people and resources, urban street networks offer a spatial footprint of these activ

206 alkable (i.e., shorter block length, greater street node density, more developed land use, and higher

207 n and older adults were less walkable (fewer street nodes and lower density of street segments), afte

208 ent durations were measured along a two-lane street of one-way traffic without a traffic signal.

209 Modeled effects of high-traffic streets on ambient concentrations were 100-200% larger t

210 fic streets; modeled effects of high-traffic streets on breath concentrations were 40-100% larger tha

211 o test for the significance of the impact of streets on vector infestation based on a decomposition o

212 ogenic emission inventory (AMAP/UNEP, EDGAR, STREETS) on global Hg deposition patterns has been inves

213 The study randomized 202 long-term street opioid injectors in Vancouver, British Columbia,

214 which limits the options for many long-term street opioid injectors not attracted into or retained i

215 Noninferiority was confirmed for any street opioids in the ITT analysis (-0.85; 90% CI, -2.97

216 types of floor surfaces: beach sand, a paved street or grass.

217 Active travel often occurs on high-traffic streets or near activity centers where particulate conce

218 a, but not after riding on low-traffic local streets or on other off-street paths.

219 , 1.00-1.19), and traffic density on nearest street (OR for increase of 5000 vehicles per day 1.06, 1

220 along a commercial street in London (Oxford Street) or in an urban park (Hyde Park).

221 y measures for quantifying the complexity of street orientations and length variations within planar

222 environment is significantly constrained by streets (p<0.05).

223 on low-traffic local streets or on other off-street paths.

224 onents of transportation systems can include street pattern design and connectivity, pedestrian infra

225 networks and infrastructure such as Complete Streets policies and Safe Routes to School initiatives,

226 ian Field Latent Class model we confirm that streets provide a barrier against infestation and furthe

227 anine rabies virus (RABV) has been used as a street rabies virus in laboratory investigations.

228 oods with a higher density of trees on their streets report significantly higher health perception an

229 90.6% of road closures and 94.1% of flooded streets resulting from Hurricane Harvey.

230 -derived chemicals and chemicals typical for street runoff were detected.

231 uch as soil and poultry litter leachates and street runoff, accounted for the remaining 30%.

232 S was then used to investigate a confiscated street sample containing two unknown substances.

233 pproach for the determination of ketamine in street samples and seizures is presented by employing sc

234 al strategies was tested on realistic heroin street samples from forensic cases, showing promising re

235 Finally, the approach is tested on street samples from forensic seizures.

236 erivatives (4-MMC and 4-MEC) in three seized street samples that are independently analyzed with high

237 ted by prescreening of SCs in 12 confiscated street samples that were also independently analyzed by

238 l strategies to selectively detect heroin in street samples without the use of complicated electrode

239 of synthetic cathinone derivatives in seized street samples.

240 n, frequently used cutting agents in cocaine street samples.

241 Neighborhood micro-environmental, street scale elements may contribute to health above and

242 lex relationships among micro-environmental, street scale elements that may confer important cardiome

243 s sensors with a science-driven building and street-scale FFCO(2) emissions estimation through the at

244 nal outreach activities, community-scale and street-scale urban design and land use, active transport

245 three-dimensional depth scan of an emulated street scene that consisted of a model car and a human f

246 200 US cities by using 50 million images of street scenes gathered with Google Street View cars.

247 and Health Disparities (median block length, street segment, and node density) and the US Geological

248 oad network using the relative angle between street segments as the occupation probability.

249 characterising the influence of each of the street segments on the system.

250 ble (fewer street nodes and lower density of street segments), after adjustment for region and level

251 re developed land use, and higher density of street segments).

252 Urban Health Study (UHS) recruited IDUs from street settings in San Francisco Bay area neighborhoods.

253 om different government farmers' markets and street shops in urban areas.

254 e subway, can I find lunch, my friend, and a street sign in the scene before me?).

255 Strouhal frequency from a Von-Karman vortex street, similar to that of the inverted hydrodynamic fis

256 mission changes are observed at the arterial street site where exclusively drayage trucks operate.

257 10th Street vs. the coffee shop on Peachtree Street) so that we can use them as landmarks to orient o

258 s that stemness and metastasis are a two-way street: Sox2, a major mediator of CSC self-renewal, also

259 gh ageing has long been considered a one-way street, strategies to delay and potentially even reverse

260 particular interest is the interplay between street structure and its functional usage.

261 p transcripts were reviewed alongside the on-street survey responses to identify key issues.

262 ed in eight focus groups and commissioned on-street surveys.

263 ring leaf litter that is not removed by fall street sweeping could be an important source to winter l

264 nd ultrafine particles were higher on Oxford Street than in Hyde Park.

265 ts, e.g. planning a safe path through a busy street to avoid collisions with other people, and falls.

266 ly removed from the city-center or b) on off-street trails.

267 Here, we analysed the association of street tree density and species richness with antidepres

268 , we sampled arthropods from a single common street tree species across temperature gradients in four

269 Street trees are an important biodiversity component of

270 h low socio-economic status, high density of street trees at 100 m around the home significantly redu

271 r spatial distances, and species richness of street trees at any distance, were not associated with a

272 We examined spatial scale effects of street trees at different distances around participant's

273 Density of street trees at further spatial distances, and species r

274 nintentional daily contact to nature through street trees close to the home may reduce the risk of de

275 We survey M. tenebricosa on 55 urban street trees in Raleigh, NC, 342 herbarium specimens col

276 and other ways, public health benefits from, street trees, green roofs, community gardens, parks and

277 ple living within 100 m of higher density of street trees-although this relationship was marginally s

278 ldren and adults all watched the same Sesame Street video during functional magnetic resonance imagin

279 g high-precision methane analyzers in Google Street View cars.

280 images of street scenes gathered with Google Street View cars.

281 buildings) on 1,826 block faces using Google Street View imagery (Google, Inc., Mountain View, Califo

282 e city of Detroit, Michigan: One used Google Street View imagery from 2009 and the other used an in-p

283 eural network to recognize the typeface from street view imagery in London.

284 rrently, researchers tend to use large-scale street view imagery to uncover physical and socioeconomi

285 environment features from Google aerial and street view images, reflecting the microcharacteristics

286 We equipped Google Street View vehicles with a fast-response pollution meas

287 The advent of Google Street View, which provides publicly available street-le

288 ons of places (e.g., the coffee shop on 10th Street vs. the coffee shop on Peachtree Street) so that

289 plified Acute Physiology Score II, living in street was significantly associated with hospital mortal

290 ago escaped from physicians and gone to the streets, where it is popularly used also as synonymous w

291 Class model to finely describe the effect of streets while controlling for cofactors and imperfect de

292 r four years, the complex layout of London's streets while training to become licensed taxi drivers.

293 obstacles, such as pedestrians crossing the street, while ignoring irrelevant objects.

294 (intersection, proximity to a bus stop, and street width) as having the more significant determinati

295 diovascular responses of walking down a busy street with high levels of pollution compared with walki

296 , MN, U.S.A., and at the scale of individual streets within one residential watershed.

297 living in HH (AOR 2.6, 95% CI: 2.0-3.4) and street youth (AOR: 5.9, 95% CI: 3.6-9.5) were more likel

298 search the databases: "street children" OR "street youth" OR "homeless youth" OR "homeless children"

299 ipants (1337 in CCI's, 1425 in HH's, and 100 street youth).

300 adequate diet vs. 95% in CCI's and 99% among street youth.