ライフサイエンスコーパス: neighborhood

1 luorophores are found within a subresolution neighborhood.

2 nts came from a disadvantaged or an affluent neighborhood.

3 ferentially activated cones in the immediate neighborhood.

4 f phenotypes in a candidate gene's signaling neighborhood.

5 itude as produced by paired randomization of neighborhoods.

6 ed with the percentage of black residents in neighborhoods.

7 ially use the more biodiverse areas in their neighborhoods.

8 than among those who originated from nonpoor neighborhoods.

9 ecially among males living in the lowest SES neighborhoods.

10 acting measurements across differently sized neighborhoods.

11 and larger in low-income than in high-income neighborhoods.

12 r survival compared with predominantly white neighborhoods.

13 sures than those who had never lived in poor neighborhoods.

14 le, examination of health disparities across neighborhoods.

15 t tissues are segregated in distinct network neighborhoods.

16 events) and similarity between evolving node neighborhoods.

17 y assigned to move from high- to low-poverty neighborhoods.

18 in intervention neighborhoods versus control neighborhoods.

19 ds relative to those who never lived in poor neighborhoods.

20 g, exiting, or remaining in poor and nonpoor neighborhoods.

21 all motor vehicles encountered in particular neighborhoods.

22 respectively), people living in high-poverty neighborhoods (47.4 per 100 person-years), and people wi

23 g 1,550 households randomized to low-poverty neighborhoods, a smaller share of households reporting b

24 We introduce the notion of an OPO's neighborhood-a collection of donor service areas (DSA) s

25 2, the prevalence increased in less walkable neighborhoods (absolute change, 5.4% [95% CI, 2.1%-8.8%]

26 s used to identify independent predictors of neighborhood access.

27 standing of the divergent pathways via which neighborhood affects health.

28 (incidence rate ratio: 2.1; 95% CI=1.3-3.3) neighborhoods, after adjustment for confounders.

29 intensity was fit to each household based on neighborhood age-dependent malaria prevalence.

30 including physical characteristics, such as neighborhood air pollution, to reduce disparities in bir

31 neighborhood socioeconomic environment, and neighborhood air pollution.

32 district and to other physically attractive neighborhoods-an observation that is consistent with the

33 Chicago, Illinois, participants in the MESA Neighborhood Ancillary Study, for whom police-recorded c

34 larger social contexts including the family, neighborhood and community, and society and culture.

35 association between racial composition in a neighborhood and survival.

36 features among proteins with similar network neighborhoods and among proteins activated in similar ti

37 -up (2002), and total time spent in affluent neighborhoods and duration-weighted poverty.

38 between length of residence in regeneration neighborhoods and improvements in mental health (P-trend

39 Using suitable representations of atomic neighborhoods and Kernel Ridge Regression, we show that

40 female adolescents living in high-inequality neighborhoods and low-income households may experience g

41 n starlings (Sturnus vulgaris) cohabit urban neighborhoods and may serve as sentinels for these conta

42 he association between racial composition of neighborhoods and OHCA survival, adjusting for patient,

43 of virtual audits for advancing the study of neighborhoods and outline areas in which they can advanc

44 elopment indices in hundreds of thousands of neighborhoods and show that their statistics are scale-d

45 s, we found a substantial overlap of disease neighborhoods and uncovered a group of 34 core genes tha

46 tes of surgery were then calculated for each neighborhood, and a cluster analysis was performed to de

47 epends on a complex interaction of resident, neighborhood, and store characteristics.

48 ds and OHCA survival, adjusting for patient, neighborhood, and treatment characteristics.

49 to share regulatory loci, cluster in network neighborhoods, and exhibit enrichment for molecular func

50 The authors demonstrated that both neighborhood- and individual-level measures of socioecon

51 However, individual-, neighborhood-, and regional-level risk factors for hospi

52 based land use regression models to estimate neighborhood annual average NO2.

53 The ISD grains in the solar neighborhood appear to be homogenized, likely by repeate

54 Insulated neighborhoods are a powerful paradigm for gene control t

55 Low-income minority children living in urban neighborhoods are at high risk for mental health problem

56 We find that these neighborhoods are highly overlapping and significantly e

57 Neighborhoods are important targets for interventions to

58 The average effective pollination neighborhood area between plants was 1.51 ha.

59 tness landscapes were confined to either the neighborhood around the wild type sequence, involving mo

60 consuming and expensive in-person systematic neighborhood audits.

61 twork data and have been shown to outperform neighborhood-based and module-based methods.

62 Using neighborhood-based benchmarking and multilayer network t

63 evaluated confounding through adjustment for neighborhood behavioral covariates and decomposition of

64 in intervention areas compared with control neighborhoods (beta = 1.54, 95% confidence interval: 0.5

65 revealed conserved targeting of X chromosome neighborhoods but rapid turnover of individual binding s

66 We found that neighborhood, but not family, socioeconomic disadvantage

67 y is higher among residents of disadvantaged neighborhoods, but it is not known whether neighborhood

68 show that targeted regeneration of deprived neighborhoods can improve mental health.

69 cidence for tumors of all thicknesses in all neighborhoods categorized by socioeconomic status (SES)

70 No other neighborhood characteristic had different effects for pe

71 Longitudinal associations between neighborhood characteristics and body mass index (BMI; w

72 ta to examine the relationship between these neighborhood characteristics and obesity and diabetes di

73 association between within-person changes in neighborhood characteristics and within-person change in

74 Neighborhood characteristics are increasingly connected

75 Baseline neighborhood characteristics included objective measures

76 Neighborhood characteristics predict mortality, but most

77 5% among residents of that city and adjacent neighborhoods, compared with 35% elsewhere in California

78 Neighborhood conditions may influence a broad range of h

79 lternative to in-person audits for assessing neighborhood conditions.

80 In this work, we remove the cis neighborhood constraint during the learning process, and

81 signed to reduce youth violence by improving neighborhood context.

82 l city of Ulaanbaatar, were matched with 2-3 neighborhood controls.

83 dulated 3D chromosome arrangement, and their neighborhoods correlated with gene expression patterns i

84 lerosis (MESA), we evaluated associations of neighborhood crime and safety with changes in adiposity

85 ntrol by activating stressors such as higher neighborhood crime, lower housing prices, and erosion of

86 Food deserts (FD), neighborhoods defined as low-income areas with low acces

87 moisture, understory light, and conspecific neighborhood density-modulate these responses.

88 he lack of evidence that more walkable urban neighborhood design was associated with increased physic

89 Limitations of extant research on neighborhood disadvantage and health include general rel

90 to evaluate the spatial relationship between neighborhood disadvantage and major atherosclerotic card

91 nd, to evaluate the relative extent to which neighborhood disadvantage and physiologic risk account f

92 Our findings highlight the importance of neighborhood disadvantage in influencing brain developme

93 , modeled as a function of a locally derived neighborhood disadvantage index (NDI) and the predicted

94 Neighborhood disadvantage may be a powerful regulator of

95 ded to ameliorate the deleterious effects of neighborhood disadvantage on health outcomes.

96 positive parenting moderated the effects of neighborhood disadvantage on the development of dorsal f

97 We hypothesized that neighborhood disadvantage would predict higher poststrok

98 promoter interactions occur within insulated neighborhoods during cell state transition.

99 ost of spatial modeling at the resolution of neighborhoods (e.g., a scale of tens of meters) rather t

100 Sex, age, race/ethnicity, neighborhood education and poverty levels, geographic re

101 uld predict higher poststroke mortality, and neighborhood effects would be relatively larger for stro

102 s in which they can advance understanding of neighborhood effects.

103 ines have argued that the characteristics of neighborhood environments can affect a variety of indivi

104 economic incentives, schools and workplaces, neighborhood environments, and the food system.

105 rtual audits for furthering understanding of neighborhood environments.

106 Which neighborhoods experience physical improvements?

107 ical development in males from disadvantaged neighborhoods exposed to low maternal positivity predict

108 ly (mean changes in CAC per 1-SD increase in neighborhood exposures, -17.60; 95% confidence interval,

109 s in CAC Agatston units per 1-SD increase in neighborhood exposures, -19.99; 95% confidence interval,

110 st that, although the role of individual and neighborhood factors remains prevailing in explaining bl

111 , treatment, hospital, sociodemographic, and neighborhood factors to racial/ethnic survival dispariti

112 Neighborhood features examined included density of recre

113 Other neighborhood features were not related to incidence of h

114 rms of the association between environmental neighborhood features, such as streets, buildings, and n

115 Associations between neighborhood food environment and adult body mass index

116 e ineligible because they had resided in the neighborhood for <3 months or were unavailable to be int

117 We design 58 neighborhoods for the DSAs with several attractive prope

118 We hypothesized that an increase in the neighborhood foreclosure rate could worsen glycemic cont

119 nificant relationship between changes in the neighborhood foreclosure rate per block group in the pri

120 Changes in neighborhood foreclosure rates were not associated with

121 with time, a standard-deviation increase in neighborhood foreclosures (1.9 foreclosures per quarter

122 Overall, greater exposure to neighborhood foreclosures had mixed associations with ca

123 h clarifying the potential health effects of neighborhood foreclosures is needed.

124 olic risk factors associated with changes in neighborhood foreclosures over time.

125 012, we assessed whether greater exposure to neighborhood foreclosures was associated with temporal c

126 asure changes in the physical appearances of neighborhoods from time-series street-level imagery.

127 LRL) gray-level zone size matrix (GLZSM) and neighborhood gray-tone difference matrix (NGTDM) paramet

128 posure, those who consistently lived in poor neighborhoods had 46% and 52% higher odds of being obese

129 , those with OHCA in mixed to majority black neighborhoods had lower adjusted survival rates to hospi

130 Compared with redistricting, the neighborhoods had smaller average transport distances th

131 Those with OHCA in predominantly black neighborhoods had the lowest rates of bystander cardiopu

132 residents of African American and low-income neighborhoods have less access to grocery stores and sup

133 e suggestive evidence that greater access to neighborhood healthy food resources may slow the develop

134 Increases in density of neighborhood healthy food stores were associated with de

135 Third, neighborhood improvement correlates positively with phys

136 hic data and find three factors that predict neighborhood improvement.

137 on that a gene's function is informed by its neighborhood in a biological network.

138 that predicts influenza for each borough or neighborhood in isolation.

139 d levels (BLL) were investigated in an urban neighborhood in Philadelphia, PA, with a history of soil

140 s) living in physically and socially diverse neighborhoods in 17 cities across 12 countries.

141 for stroke survivors (hazard ratio, 0.75 for neighborhoods in highest 25th percentile versus below, 9

142 ingle academic health center and surrounding neighborhoods in northeastern Ohio.

143 n's independent selection of spaces in their neighborhoods in relation to the biodiversity values of

144 oxication of 33 persons in one New York City neighborhood, in an event described in the popular press

145 ory, waist circumference, outdoor free play, neighborhood income, soda consumption, and child's birth

146 droom, higher maternal education, and higher neighborhood income.

147 maternal age, race/ethnicity, education and neighborhood income.

148 Less attention has been devoted to neighborhood inequalities and fissures in the civic infr

149 d neighborhoods, but it is not known whether neighborhood inequalities are specific to stroke surviva

150 ata with a theoretically guided framework on neighborhood inequality can enhance the pursuit of susta

151 ce interval, 0.83-1.02; P=0.04 for stroke-by-neighborhood interaction).

152 us failure of a component independent of the neighborhood (internal failure), (ii) failure induced by

153 and cortisol functioning was observed at the neighborhood level, with intraclass correlation coeffici

154 After adjustment for individual and neighborhood-level covariates, a 1-standard-deviation in

155 r age, sex, ethnicity, socioeconomic status, neighborhood-level deprivation, and population density.

156 le in magnitude to any single individual- or neighborhood-level factor.

157 efforts to improve diets and health through neighborhood-level fast-food outlet regulation might be

158 Neighborhood-level interventions provide an opportunity

159 ents can affect a variety of individual- and neighborhood-level outcomes.

160 Neighborhood-level safety likely influences adiposity ch

161 Increasing individual- and neighborhood-level safety over time were associated with

162 tions of individual-level safety, aggregated neighborhood-level safety, and police-recorded crime wit

163 omen for individual-level safety and men for neighborhood-level safety.

164 We examined the roles that individual- and neighborhood-level SES (NSES) play in the association be

165 ic health records, determined each patient's neighborhood-level socioeconomic data from 2010 U.S. Cen

166 function of child characteristics, including neighborhood-level socioeconomic indicators.

167 Overall, individual (17.5% for PTB) and neighborhood-level variables (16.1% for PTB) explained a

168 isadvantage and physiologic risk account for neighborhood-level variation in ASCVD event rates.

169 e first evidence that objective exposures to neighborhood-level violence influence both physiological

170 To compare individual-level, neighborhood-level, and air pollution [Particulate Matte

171 We develop network models at the borough and neighborhood levels, and use them in conjunction with su

172 Compared with OHCA in predominantly white neighborhoods (<25% black), those with OHCA in mixed to

173 and for 12,390 asymptomatic age, gender, and neighborhood-matched controls.

174 Improving bystander treatments in these neighborhoods may improve cardiac arrest survival.

175 th include general reliance on point-in-time neighborhood measures and sensitivity to residential sel

176 -needs, occupation, and education level) and neighborhood measures of socioeconomic disadvantage were

177 Changes across time in other neighborhood measures were not significantly associated

178 We identify the local neighborhoods (module) within the interconnected map of

179 Cox proportional hazard models, we compared neighborhood mortality effects for people with versus pe

180 Neighborhood-mortality associations emerged within 3 mon

181 opulation (Ne) and the effective size of its neighborhoods (Nn) has sometimes become blurred.

182 is study was to derive improved estimates of neighborhood NO2 concentrations by blending measurements

183 els of antibiotic depends on the chromosomal neighborhood of a drug-resistance gene inserted at diffe

184 redicts the same qualitative patterns in the neighborhood of a tipping point to greatly reduced vacci

185 ect of drugs is localized in a small network neighborhood of the disease genes and highlights efficac

186 To overcome the fMRI signal dropout in the neighborhood of the NFA, we combined high spatial resolu

187 ze the structure information to identify the neighborhood of the vertices.

188 riched interactions that reflect topological neighborhoods of higher-order chromosome folding.

189 indicated that true MSAs are in considerable neighborhoods of reconstructed MSAs in about 80-99% of t

190 We observed, that the spatial neighborhood on the molecular descriptors map is highly

191 portunity to better understand the impact of neighborhoods on health.

192 on for more genes than the ones built on cis neighborhood only.

193 's baseline health problem as a predictor of neighborhood outcomes for households randomly assigned t

194 od Parks in which a representative sample of neighborhood parks (n = 174) from 25 U.S. cities with >

195 We analyzed data from the National Study of Neighborhood Parks in which a representative sample of n

196 k users and their physical activity in urban neighborhood parks with and without walking loops.

197 The prevalence and use of walking loops in neighborhood parks: a national study.

198 Neighborhood percent white predicted lower mortality for

199 or transport during the last seven days with neighborhood perceptions.

200 We examined relationships between neighborhood physical and social environments and incide

201 We compared 2 audit-based measures of neighborhood physical disorder in the city of Detroit, M

202 ual audits offer key advantages to measuring neighborhood physical disorder over in-person audits, in

203 In studies to assess neighborhood physical disorder, investigators typically

204 In particular, neighborhood physical disorder-a measure of urban deteri

205 gitudinal evidence that favorable changes in neighborhood physical environments are related to BMI re

206 blem predicted 2.5 percentage points' higher neighborhood poverty at take-up (95% confidence interval

207 n status was defined at the county level and neighborhood poverty at the zip-code level.

208 Because black-white differences in neighborhood poverty declined much faster than black-whi

209 uch faster than black-white segregation, the neighborhood poverty disadvantage of blacks declined fas

210 Compared with peers who had no neighborhood poverty exposure, those who consistently li

211 g because the narrowing of the racial gap in neighborhood poverty for blacks has gone largely unnotic

212 s in 1980 and 2010 to compare decline in the neighborhood poverty gap between blacks and other Americ

213 Those who exited neighborhood poverty had significantly higher diastolic

214 reign-born Hispanics and 2) assessed whether neighborhood poverty mediated this relationship.

215 We also found that neighborhood poverty mediates some, but not all, of the

216 the program upon randomization (1994-1997), neighborhood poverty rate at follow-up (2002), and total

217 ated to examine the effects of urbanization, neighborhood poverty, and race/ethnicity on rates of ast

218 ying income, working status, medication use, neighborhood poverty, neighborhood unemployment, and int

219 ic chick retinotectal projection, due to its neighborhood preserving, topographic organization, estab

220 aged adults after adjustment for biological, neighborhood, psychosocial, socioeconomic, and behaviora

221 ative associations of modifiable biological, neighborhood, psychosocial, socioeconomic, and behaviora

222 ), or residence in the highest socioeconomic neighborhood quintile versus lowest (OR 2.10, CI 1.67-2.

223 r black and white patients with OHCA in each neighborhood racial quantile.

224 ical (eg, fasting glucose, body mass index), neighborhood (racial segregation and tract-level poverty

225 t allocation, simulation results showed that neighborhoods reduce the DSA-average MELD standard devia

226 s study, we examined the association between neighborhood regeneration and mental health.

227 gdom, funded Communities First, a program of neighborhood regeneration delivered to the 100 most depr

228 se who entered or consistently lived in poor neighborhoods relative to those who never lived in poor

229 t is, the relative amount of activity in the neighborhood required for the excitation of a node.

230 an "spillover" to affect the health of other neighborhood residents is largely unknown.

231 management, parent educational materials, a Neighborhood Resource Guide, and monthly text messages)

232 t behavior change and linkage of families to neighborhood resources.

233 anizational ties that differentially connect neighborhood resources.

234 on influenza incidence, particularly at the neighborhood scale where greater heterogeneity exists, a

235 At the neighborhood scale, we observe much greater spatial hete

236 children emerge in early childhood and that neighborhood SES accounts for a portion of racial dispar

237 proxies for time to screening detection and neighborhood SES as a proxy for health care access, we i

238 Neighborhood SES explained 29% and 24% of the racial dif

239 (ABC) framework for parameter estimation of neighborhood size (that is, the number of locally breedi

240 resulting estimates of dispersal ability and neighborhood size to infer the average population densit

241 for different problems, different scales and neighborhood sizes may be more or less important and thu

242 at gene expression values predicted from cis neighborhood SNPs show statistical association with dise

243 imulated allocation model cannot accommodate neighborhoods, so we programmed a discrete-event simulat

244 crime, lower housing prices, and erosion of neighborhood social cohesion.

245 e, black, or foreign-born) and self-reported neighborhood social ties.

246 d models to examine the effect of family and neighborhood socioeconomic disadvantage as well as the m

247 ornia, according to individual demographics, neighborhood socioeconomic environment, and neighborhood

248 Family and neighborhood socioeconomic status (SES), measured at bas

249 The influences of neighborhood socioeconomic status and marital status sug

250 Neighborhood socioeconomic status was an important facto

251 Low neighborhood socioeconomic status was not associated wit

252 After adjustment for age, sex, and neighborhood socioeconomic status, a pattern of 5 discre

253 n, adjusting for age, race, body-mass index, neighborhood socioeconomic status, and urban residency.

254 We exhibited a neighborhood solution.

255 ssion models to predict PNC in a residential neighborhood (Somerville) and an urban center (Chinatown

256 om high-poverty neighborhoods to low-poverty neighborhoods starting in the early 1990s.

257 The Vicus matrix captures the local neighborhood structure of the network and thus is more e

258 t of bag estimator of Y based on the bagging neighborhood structure.

259 t used the value of X to construct a bagging neighborhood structure.

260 We estimated associations between neighborhood supermarket gain or loss and glycemic contr

261 ients with type 2 diabetes mellitus, gaining neighborhood supermarket presence did not benefit glycem

262 the pattern of sound falling within a local neighborhood surrounding it in time and frequency.

263 ors with domain V of 25S rRNA, including the neighborhood surrounding the peptidyl transferase center

264 common among those who originated from poor neighborhoods than among those who originated from nonpo

265 First, neighborhoods that are densely populated by college-educ

266 Physical disorder is one feature of neighborhoods that scholars have argued is important, bu

267 to 3' gene looping, and (4) merging of gene neighborhoods that share active epigenetic marks.

268 y ISD grains from our immediate interstellar neighborhood, the local interstellar cloud.

269 4 and SOX2 safeguard an accessible chromatin neighborhood to assist the binding of other TFs/cofactor

270 each pixel/voxel, we match the size of this neighborhood to the structures being imaged.

271 ery low-income US families from high-poverty neighborhoods to low-poverty neighborhoods starting in t

272 85 black children aged 5 to 16 years from 52 neighborhoods took place in the greater New Orleans, Lou

273 aring current allocation, redistricting, and neighborhoods under current sharing policies with respec

274 tatus, medication use, neighborhood poverty, neighborhood unemployment, and interactions of age, sex,

275 Most neighborhood variables predicted mortality for both stro

276 the change in mental health in intervention neighborhoods versus control neighborhoods.

277 To examine the association between neighborhood violence and cellular and biological stress

278 Children's exposure to neighborhood violence and heart rate during a stressful

279 zed Difference Vegetation Index (NDVI)], and neighborhood walkability at each participant's residence

280 Neighborhood walkability derived from a validated index,

281 In Ontario, Canada, higher neighborhood walkability was associated with decreased p

282 affic-related air pollutants, greenness, and neighborhood walkability.

283 Having exited poor neighborhoods was associated with lower systolic blood p

284 Neighborhoods were ranked and classified into quintiles

285 tcomes vary by the racial composition of the neighborhood where out-of-hospital cardiac arrests (OHCA

286 s according to the racial composition of the neighborhood where the OHCA event occurred.

287 es of the distribution of poverty across the neighborhoods where blacks, whites, Hispanics, and Asian

288 Neighborhoods where OHCA occurred were classified by cen

289 arget genes generally occur within insulated neighborhoods, which are chromosomal loop structures for

290 ed form a chromosomal framework of insulated neighborhoods, which in turn form topologically associat

291 tic edges and similarity between static node neighborhoods, while DynaMAGNA++ conserves dynamic edges

292 mpared with patients who experienced OHCA in neighborhoods with a lower proportion of black residents

293 Second, neighborhoods with better initial appearances experience

294 cortical thickness, in adolescents living in neighborhoods with differing levels of income inequality

295 ort of 560 urban families was recruited from neighborhoods with high rates of poverty, and 467 (83%)

296 ower proportion of black residents, those in neighborhoods with more than 75% black residents were sl

297 is was performed to determine aggregation of neighborhoods with significantly higher (hot spots) or l

298 Men living in neighborhoods with worse air quality-with higher PM2.5 l

299 rigin populations into different competitive neighborhoods within and beyond their elevational ranges

300 MATADOR database, our approach based on node neighborhoods yield higher precision for high-ranking pr