ライフサイエンスコーパス: neighborhood

1 1.04-1.41]; P=0.01 for BLS ambulances >4 per neighborhood).

2 al tilt estimates within an adaptive spatial neighborhood.

3 c emissions and industrial facilities in the neighborhood.

4 ial buildings occupancy rates vary widely by neighborhood.

5 exhibited greater reactivity to the affluent neighborhood.

6 ygous single nucleotide polymorphisms in the neighborhood.

7 d the impact its activation will have on its neighborhood.

8 emissions can be 15 times higher than nearby neighborhoods.

9 s differ substantially between New York City neighborhoods.

10 h lower survival seen in predominantly black neighborhoods.

11 count for indoor heat exposure in vulnerable neighborhoods.

12 urces in low-income, non-white, and Hispanic neighborhoods.

13 both hit disease module, but target separate neighborhoods.

14 s, and flower pots, concentrated in specific neighborhoods.

15 mans and mosquitoes were identified inside 3 neighborhoods.

16 ucher that could only be used in low-poverty neighborhoods.

17 ddress environmental challenges in their own neighborhoods.

18 ombustion-related air pollution within urban neighborhoods.

19 d assessed variations in benefits across NYC neighborhoods.

20 egree than low-class children from low-class neighborhoods.

21 aring similar topological and pharmacophoric neighborhoods.

22 availability of healthy foods in low-income neighborhoods.

23 cated in low-income, non-white, and Hispanic neighborhoods.

24 tributions of the data associated with nodal neighborhoods.

25 policy implementation and identify priority neighborhoods.

26 hosocial resilience living in low-resilience neighborhoods (8.38 [7.90-8.86] versus 7.42 [7.04-7.79])

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

28 donor and are named NadE(Gln) Previous gene neighborhood analysis has indicated that the bacterial n

29 of OLD proteins based on differences in gene neighborhood and amino acid sequence conservation and pr

30 4-1.51]; P<0.001 for ALS ambulances >1.5 per neighborhood and aOR, 1.21 [1.04-1.41]; P=0.01 for BLS a

31 In Maryland, residing in a disadvantaged neighborhood and being discharged from a hospital servin

32 atistically clustered around the residential neighborhood and city center sites respectively, suggest

33 lly in countries with stronger links between neighborhood and depression, should focus on improving p

34 lly in countries with stronger links between neighborhood and depression, should focus on improving t

35 ations can potentially affect the mutational neighborhood and frequency of niche expansion.

36 wed the baseline hazard to vary according to neighborhood and was adjusted for age, race and ethnic g

37 w platform, TREND (tree-based exploration of neighborhoods and domains), which can perform all the ne

38 unctional and phylogenetic structure of root neighborhoods and linked their distributions with enviro

39 Poor neighborhoods and living conditions plus limited Interne

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

41 of a given gene within and outside the bait neighborhoods and the distance to the bait.

42 Cases were geocoded according to 19 neighborhoods and the number of BLS (firefighters perfor

43 Poorer neighborhoods and those with larger minority populations

44 financial, discrimination, relationship, and neighborhood) and traumatic life event stress reported o

45 elements is often organized within insulated neighborhoods, and regulatory cues that induce transcrip

46 e result show that the typefaces used in the neighborhood are highly correlated with economic and dem

47 der ranges of phenotypes in their mutational neighborhood are known to be more evolvable.

48 serving a large proportion of disadvantaged neighborhoods are independently associated with increase

49 phenotypic changes available in their local neighborhoods are more mutationally robust.

50 Although neighborhoods are thought to be an important health dete

51 One class of sub-domains, insulated neighborhoods, are proposed to spatially sequester and i

52 ma emergency department visits in low-income neighborhoods as compared to the wealthiest neighborhood

53 .8% to 13.2%) for similar patients living in neighborhoods at the 10th percentile.

54 Patients living in neighborhoods at the 90th percentile of disadvantage had

55 Applying a method for estimating individual neighborhoods at the address level, we analyze the assoc

56 Other important neighborhood attributes included hog density, environmen

57 Neither neighborhood availability of healthy food options nor ne

58 Our neighborhood-based approach allowed us to simultaneously

59 in (DVS) that is often located in low-income neighborhoods became an authorized WIC vendor in 8 pilot

60 focal deletion that removes a CTCF-insulated neighborhood boundary.

61 ificantly varies across regions, states, and neighborhoods, but the extent these differences are asso

62 between individual psychosocial resilience, neighborhood cardiovascular resilience, and LS7 scores.

63 c circumstances in participants' residential neighborhoods, categorized as high versus low socioecono

64 arm laws and a variety of state, county, and neighborhood (census tract [CT]) characteristics.

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

66 ix different spatial scales (room, building, neighborhood, city, country, continent) under functional

67 identified nine conserved, distinct cellular neighborhoods (CNs)-a collection of components character

68 Moreover, neighborhood communities that have greater spatial varia

69 5% among residents of that city and adjacent neighborhoods, compared with 35% elsewhere in California

70 e study the association between sociospatial neighborhood conditions throughout childhood and educati

71 ll survival RESULTS:: Patients from high SED neighborhoods constituted 29.9% of the cohort.

72 Public health initiatives should consider neighborhood context and novel data sources in designing

73 These findings suggest that neighborhood context may be an important consideration w

74 al centrality can identify nodes whose local neighborhoods contribute positively.

75 The protein neighborhood could then be characterized by streptavidin

76 Survey 2012-2015, with data linkage between neighborhood data from the U.S.

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

78 ximity labeling enables discovery of protein neighborhoods defining functional complexes and/or organ

79 D (REpresentation of Features as Images with NEighborhood Dependencies) to arrange high-dimensional v

80 onvolutional networks (GCN) can capture such neighborhood dependency in a graph.

81 th waist circumference, waist-hip ratio, and neighborhood deprivation (|r(g)| ~ 0.1-0.3) and positive

82 f the Social Deprivation Index characterized neighborhood deprivation at the census tract level.

83 ce, and higher rates of psychiatric illness, neighborhood deprivation, unemployment, social welfare,

84 Sample-specific network neighborhood deregulation is quantified via the error in

85 sidential density, proximity to community or neighborhood destinations, and parks and recreational fa

86 Measurement of neighborhood dietary patterns at high spatial resolution

87 an opportunity to refine the measurement of neighborhood dietary patterns.

88 l size zone matrices (GLSZM), and gray-level neighborhood difference matrices (GLNDM) were extracted

89 specialty practices serving low-income urban neighborhoods, directed to Internet access, and given po

90 oped a virtual reality experimental model of neighborhood disadvantage and affluence and examined the

91 Exposure to neighborhood disadvantage resulted in greater negative e

92 The insight provided by neighborhood disadvantage scores, such as the area depri

93 the observed association with the patient's neighborhood disadvantage status.

94 = 2,788) and linked to national grid data on neighborhood disadvantage via residential addresses.

95 Neighborhood disorder (odds ratio (OR) = 1.25) and lack

96 Neighborhood disorder [Odds Ratio (OR)=1.25] and lack of

97 tions were generally stronger than those for neighborhood disorder and depression.

98 tions were generally stronger than those for neighborhood disorder and depression.

99 The risk of perceived neighborhood disorder and lack of social cohesion on dep

100 he risk of depression according to perceived neighborhood disorder and lack of social cohesion was es

101 e the longitudinal associations of perceived neighborhood disorder and social cohesion with depressiv

102 longitudinal associations between perceived neighborhood disorder, social cohesion and depressive sy

103 ent, the risk of depression was even higher (neighborhood disorder: OR = 1.35; lack of social cohesio

104 ent, the risk of depression was even higher (neighborhood disorder: OR=1.35; lack of social cohesion:

105 Living in a disadvantaged neighborhood during childhood and adolescence was associ

106 ing, we found evidence of specific cell type neighborhoods, dynamic topographies in the endocrine and

107 average levels of academic achievement), and neighborhood (e.g., concentrated poverty).

108 However, evidence for neighborhood effects on stress and emotion is limited du

109 ectrometry imaging: t-distributed stochastic neighborhood embedding (t-SNE) and uniform manifold appr

110 Like t-distributed Stochastic Neighborhood Embedding, the model can produce two- and t

111 ed 14.4 million males across three replicate neighborhoods encompassing 293 hectares.

112 We examined whether neighborhood environment modifies the disparity in 30-da

113 Across modes, neighborhood environment, parental characteristics, qual

114 safety, affordability and accessibility, and neighborhood environment.

115 ially account for this effect, disadvantaged neighborhood environments are hypothesized to elicit str

116 These results demonstrate that simulated neighborhood environments can elicit immediate stress re

117 nities, improving the quality of housing and neighborhood environments of these populations, advocati

118 However, the effect of virtual neighborhood environments on blood pressure and electrod

119 neighborhoods as compared to the wealthiest neighborhoods even though median declines in ambient PM(

120 n adherence may partly explain links between neighborhood factors and adverse health outcomes followi

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

122 tino staff and was located in a middle-class neighborhood far from his home.

123 onomic segregation, and social spending-with neighborhood firearm-related homicides and mass shooting

124 The relative contributions of neighborhood food availability and socioeconomic status

125 models to evaluate the relationships between neighborhood food environment or socioeconomic status an

126 Predictors included the disadvantage of neighborhoods for each Maryland resident (area disadvant

127 light the potential exploitation of acr loci neighborhoods for the identification of previously undes

128 : Shape, gray-level cooccurrence matrix, and neighborhood gray-level difference matrix radiomic featu

129 Shape, neighborhood gray-level difference matrix, and gray-leve

130 31-1.17]), whereas living in high-resilience neighborhoods (>median) was not.

131 middle-income (aHR, 1.26; 95% CI, 1.14-1.40) neighborhoods had higher risk of graft loss than men, bu

132 tal cardiac arrest in predominantly Hispanic neighborhoods had lower B-CPR rates (51% to 75% Hispanic

133 Patients who reside in more disadvantaged neighborhoods have a significantly higher risk for 30-da

134 ]; lower values indicate predominantly black neighborhoods, higher values indicate predominantly whit

135 ng coefficient that extends beyond immediate neighborhoods, identifying very strong correlations betw

136 The spatial neighborhood in which local estimates are pooled changes

137 in settings such as schools, workplaces, and neighborhoods in 13 different countries (9 high-income a

138 Compared with <25% Hispanic neighborhoods in a multivariable analysis, out-of-hospit

139 Neighborhood income also was not associated with differe

140 sex, race/ethnicity, insurance coverage, and neighborhood income and access to/outcomes of LVAD impla

141 ood availability of healthy food options nor neighborhood income was associated with phosphorus level

142 ational attainment; growing up in high-class neighborhoods increased attainment.

143 middle-income (aHR, 0.82; 95% CI, 0.74-0.92) neighborhoods incurred a survival advantage over men, bu

144 e propose a gravity model that utilizes both neighborhood information and path information to measure

145 in order to relate protein features and gene neighborhoods information to phylogeny, researchers need

146 ncluding promoters, enhancers, and insulated neighborhoods (INs).

147 We show that mycorrhizal type mediates tree neighborhood interactions at the community level, and mu

148 er the proportion of Hispanic residents in a neighborhood is associated with B-CPR delivery and survi

149 Living in a disadvantaged neighborhood is associated with worse health and early m

150 Neighborhood LC-SES was not associated with dementia.

151 C-SES is a risk factor for dementia, whereas neighborhood LC-SES was not associated.

152 r out-of-hospital cardiac arrest vary at the neighborhood level, with lower survival seen in predomin

153 Neighborhood-level cardiovascular resilience was separat

154 Similarly, higher neighborhood-level cardiovascular resilience was signifi

155 ether individual psychosocial resilience and neighborhood-level cardiovascular resilience were associ

156 hazards models, adjusting for personal- and neighborhood-level covariates.

157 kelihood of receipt of B-CPR and survival by neighborhood-level ethnicity controlling for site and pa

158 sed whether B-CPR rates and survival vary by neighborhood-level ethnicity.

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

160 We examined associations of individual- and neighborhood-level life-course (LC) socioeconomic status

161 Neighborhood-level predictors were not associated with d

162 Individual- and neighborhood-level SES were assessed at 3 life epochs (c

163 tion of their article is that they study how neighborhood-level social capital relates to depression

164 tion of their article is that they study how neighborhood-level social capital relates to depression

165 ent associations of key state-, county-, and neighborhood-level social determinants of health-social

166 se pollutants, adjusting for individual- and neighborhood-level variables.

167 re capable of predicting OOE hotspots at the neighborhood-level: our results show code violation, pub

168 primarily in those specific habitats at the neighborhood levels that provide suitable conditions and

169 conomic stability (annual household income); neighborhood (living in a zip code with high poverty); a

170 of aquatic habitats scattered throughout 141 neighborhoods located in the urbanized areas of Miami-Da

171 Growing up in low-class neighborhoods lowered educational attainment; growing up

172 and MACE (ie, transportation noise exposure, neighborhood median household income, and crime rate) we

173 However, each CAD $10000 increase in neighborhood median income remained associated with a de

174 l hazards model, each CAD $10000 increase in neighborhood median income was associated with an 8% dec

175 lity under high crowding conditions based on neighborhood models.

176 st, methylation is associated with increased neighborhood mutation risk in A. thaliana and rice.

177 The difference in neighborhood mutation risk is less pronounced further aw

178 milarity network, and subsequently, a genome neighborhood network were constructed, organizing the su

179 to clustered distributions of gardens within neighborhoods (network modularity), which promotes neigh

180 es, sequence similarity networks, and genome neighborhood networks guided predictions for function of

181 eneity was defined as SD of LGE in the local neighborhood of 5 mm and wall thickness gradient as SD w

182 nt of non-coding constraint mutations in the neighborhood of 78 genes that have previously been impli

183 D), has the potential to study the molecular neighborhood of any structural protein whose interaction

184 In the neighborhood of each local maximum of |T(A)|(2), conside

185 ons that focus feedforward inhibition in the neighborhood of GoC somata.

186 We mapped the mutational neighborhood of host range expansion using three genotyp

187 elegans, but very little changes in relative neighborhood of neuronal processes.

188 host range mutations dramatically narrow the neighborhood of potential host range mutations compared

189 ted between 2016 and 2019 in Vila Toninho, a neighborhood of Sao Jose do Rio Preto, Sao Paulo, Brazil

190 to examine the domain architecture and gene neighborhood of T4aP secretins in Proteobacteria in comp

191 hat when incorporated within the topological neighborhood of the antigen binding interface, the Anap

192 ases, suspected cases from the households or neighborhood of the confirmed cases, and enrollment of c

193 sign the neighbors of the source node to the neighborhood of the target node using a random walk star

194 adults participating in the Healthy Aging in Neighborhoods of Diversity across the Life Span (HANDLS)

195 tates-Mexico border are generally self-built neighborhoods of low-income families that lack basic inf

196 Notably, miRNAs act on neighborhoods of pluripotency genes to increase variatio

197 ertaken during the rainy season of 2014 in 4 neighborhoods of Saint-Louis, a city in northern Senegal

198 the user, this protocol compares the genomic neighborhoods of the baits to identify genes that are li

199 iruses found in patients living in different neighborhoods of the city.

200 luence and examined the effects of simulated neighborhoods on immediate stress and emotion.

201 diator (e.g. the expression of a gene in the neighborhood) on phenotypic outcome.

202 , higher values indicate predominantly white neighborhoods) on organ donor registration rates within

203 isogenic mutants had dramatically restricted neighborhoods: only one or two mutations, all in p3.

204 ith holistic approaches to change the entire neighborhood or to neutralize pathogenic strains.

205 aracteristics significantly differed between neighborhoods ( P for trend <0.001).

206 rom 4.4% to 14.5% respectively, according to neighborhoods ( P<0.001).

207 peptides varied significantly between the 4 neighborhoods (P < .0001).

208 Meanwhile, 1-SD increases in the neighborhood percentages of residents in poverty and mal

209 inant, evidence for the relationship between neighborhood poverty and health care use is limited, as

210 Neighborhood poverty has been associated with worse outc

211 al school- and peer-based mechanisms linking neighborhood poverty to adolescent substance use in the

212 l among people living with HIV regardless of neighborhood poverty to reduce CVD mortality.Human immun

213 ccounting for age, race/ethnicity, year, and neighborhood poverty, defined as the percent living belo

214 of HIV status with CVD mortality by sex and neighborhood poverty, defined as the percent of resident

215 ng women than men, even after accounting for neighborhood poverty.

216 1-1.3) overall, and within strata defined by neighborhood poverty.

217 1-1.3) overall, and within strata defined by neighborhood poverty.

218 fferent dimensionality reduction methods for neighborhood preserving in terms of their ability to rec

219 ted racial/ethnic and economic dimensions of neighborhood privilege and disadvantage separately (ICE-

220 ent effects of early childhood and adulthood neighborhood privilege on preterm delivery and related d

221 early childhood and adulthood experiences of neighborhood privilege, measured by the Index of Concent

222 Perceived neighborhood problems increased the overall risk of depr

223 Perceived neighborhood problems increased the overall risk of depr

224 y HF readmissions or mortality in any of the neighborhood quartiles.

225 areas, with the most geographically isolated neighborhood reaching a 99% reduction.

226 A in comparison to those from high adherence neighborhoods, regardless of individual participation, s

227 Social class and neighborhoods reinforced each other, implying that high-

228 -dimensional embedding that aims to preserve neighborhood relationships encoded by a sparse graph.

229 luated by assessing its association with the neighborhood relative risk of prevalent type 2 diabetes

230 e large inequalities between the classes and neighborhoods remained unchanged throughout the period.

231 unctional and phylogenetic structure of root neighborhoods remains unclear, hindering the understandi

232 Our data indicate that insulated neighborhoods represent functional regulons in mammalian

233 trategies could be crucial in promoting root neighborhood resource use and species coexistence.

234 anizational ties that differentially connect neighborhood resources.

235 s also was an important factor defining root neighborhoods, resulting in significant phylogenetic ove

236 That is, when the share of a neighborhood's same-sex population increases, both same-

237 indoor impacts of aviation emissions at the neighborhood scale to more accurately estimate residenti

238 stormwater harvesting and recharge, such as neighborhood-scale and larger projects.

239 orhoods (network modularity), which promotes neighborhood-scale connectivity hotspots, but produces l

240 nsmission between mosquitoes and humans in a neighborhood setting, considering a network of houses co

241 esolution spatial and temporal indicators of neighborhood social distress and opioid misuse.

242 Features of neighborhood social organization matter less, but are se

243 first study to evaluate associations between neighborhood socioeconomic deprivation and an objective

244 e evaluated population-level associations of neighborhood socioeconomic deprivation and racial segreg

245 o geocoded participant home addresses, was a neighborhood socioeconomic deprivation index (range 0-1,

246 states to estimate the association between a neighborhood socioeconomic deprivation index (range [0,

247 Neighborhood socioeconomic deprivation is associated wit

248 We sought to determine if neighborhood socioeconomic deprivation was associated wi

249 borhood strata and increase with progressive neighborhood socioeconomic deprivation.

250 ted 1) the contribution of early exposure to neighborhood socioeconomic disadvantage to later depress

251 r pylori) can vary by race and ethnicity and neighborhood socioeconomic status (nSES).

252 tial building characteristics and markers of neighborhood socioeconomic status (SES) with screen-dete

253 ty are present among Black patients in every neighborhood strata and increase with progressive neighb

254 We proposed Graph-based Residue neighborhood Strategy to Predict binding sites (GRaSP),

255 ation-specific E-P aggregates spanning large neighborhoods, suggesting a mechanism that stabilizes en

256 ly with the mutability of the wider sequence neighborhood surrounding the motif.

257 he tumor microenvironment (TME) is a complex neighborhood that consists of immune cells, fibroblasts,

258 First, we examine neighborhoods that are harsh on children's development:

259 nic stem cells (mESCs) to identify insulated neighborhoods that confine promoter-enhancer interaction

260 ) protein domain architecture and (iii) gene neighborhoods the corresponding proteins are encoded in.

261 e relative roles of the mean disadvantage of neighborhoods the hospitals serve and the disadvantage o

262 Among children aged 6-59 months in each neighborhood, the dried blood spot technique was used to

263 e-intent surgery patients were from high SED neighborhoods, this factor was not associated with measu

264 nd living conditions in these unincorporated neighborhoods through collection of water samples and su

265 data on intergenerational social mobility by neighborhood to examine how social and physical environm

266 how an individual can rewire her own network neighborhood to hide her sensitive relationships.

267 ning algorithm to predict the propensity for neighborhoods to be classified as having a high level of

268 inophen usage was negatively associated with neighborhood trust and feelings of social integration.

269 real-temperate ecotone were grown in natural neighborhoods under ambient and elevated (+3.4 degrees C

270 ated with COPD (OR, 1.34; P < 0.001), as was neighborhood use of coal for heating (OR, 1.09; P < 0.00

271 cteristics, and ambulance resources of these neighborhoods using a mixed-effect model with successful

272 We implemented the neighborhood variance ratio (NVR) feature selection appr

273 Association is accomplished by defining cell neighborhood via a stochastic version of the Delaunay tr

274 We find that exposure to neighborhood violence, incarceration, and lead combine t

275 , only the number of ALS ambulances >1.5 per neighborhood was significant (aOR, 1.30 [1.06-1.59] P=0.

276 Residence within a disadvantaged US neighborhood was significantly associated with adherence

277 Residence in high-violence neighborhoods was associated with higher prevalence of p

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

279 stead focused on indicator variables such as neighborhood wealth.

280 Neighborhoods were classified by census tract based on p

281 tal cardiac arrest in predominantly Hispanic neighborhoods were less likely to receive B-CPR and had

282 affect health among pregnant women living in neighborhoods where it is endemic.

283 ation in the endoplasmic reticulum (ER)-like neighborhood, whereas co-expression of OsPIP2;2 recruite

284 ited greater reactivity to the disadvantaged neighborhood, while those from families with higher educ

285 the formation of a highly dynamic molecular neighborhood whose temporal characterization during mito

286 Living in a neighborhood with better availability of healthy food wa

287 estimate the association between living in a neighborhood with high firearm violence and preterm deli

288 utation score distribution in a node's local neighborhood with network propagation.

289 reas it was administered in 27% of events in neighborhoods with >75% Hispanic residents.

290 In neighborhoods with <25% Hispanic residents, B-CPR was ad

291 visits (OR = 1.85, 95% CI: 1.60, 2.16), and neighborhoods with a high deprivation index (fourth quar

292 We hypothesized that neighborhoods with a higher proportion of Hispanic resid

293 Children living in neighborhoods with higher concentrated poverty had highe

294 In this study, individuals from neighborhoods with low MDA adherence had 2.85 times the

295 ly associate with OOEs and also characterize neighborhoods with lower socio-economic status in the ci

296 have higher risk perceptions than wealthier neighborhoods with more white residents, consistent with

297 upports continuous distribution of molecular neighborhoods within liquid water, as do X-ray emission

298 instruments: resection rates in a patient's neighborhood (within 50-mile radius)-NALR rate; and Medi

299 pair enhancers of genes within 222 insulated neighborhoods without causing mESC differentiation.

300 th nascent RNA and mRNA within the insulated neighborhoods without significantly affecting the flanki