ライフサイエンスコーパス: deviance

1 rces of individual differences in peer-group deviance.

2 l distributions, and feature selection using deviance.

3 ory cortex, as well as weaker sensitivity to deviance.

4 ance to rare stimuli or for the detection of deviance.

5 s through critiques of the medicalization of deviance.

6 n the developmental trajectory of peer-group deviance.

7 ratio deviances instead of widely employed C deviances.

8 , 3.8821; P = .05) but not in men (change in deviance, 0.77215; P = .38).

9 ce, 4.6553; P = .03) and in women (change in deviance, 3.8821; P = .05) but not in men (change in dev

10 er time in the overall population (change in deviance, 4.6553; P = .03) and in women (change in devia

11 tal transfer (likelihood ratio test: df = 3, deviance = 9.57, chi2 test P = .02).

12 cted a quantitative, cross-national positive deviance analysis to compare them with facilities perfor

13 This positive deviance analysis used nationally representative samples

14 ch aimed at delineating the causes of sexual deviance and at measuring and improving the efficacy of

15 been associated with signaling of contextual deviance and disambiguation of similar items (i.e., patt

16 gained momentum in recent years, focuses on deviance and dissent as normal and healthy aspects of gr

17 e aim for a balanced and complete account of deviance and dissent, highlighting when such behaviors w

18 onal as well as the dysfunctional effects of deviance and dissent.

19 the motivations and conditions underpinning deviance and dissent.

20 than the block models, reflected in improved deviance and Watanabe-Akaike information criteria and we

21 s [Formula: see text] of logistic regression deviances and social relatedness as much as [Formula: se

22 ion, but it also signals novelty, contextual deviance, and action monitoring.

23 d tolerance of deviance, peer drug use, peer deviance, and exposure to violence on television.

24 ANTS: This qualitative study used a positive deviance approach to identify 9 high-performing and 3 lo

25 We used the positive deviance approach to identify the factors that different

26 tic content analysis and a positive-negative deviance approach.

27 underlying automatic processing of auditory deviance, as reflected by the duration + frequency doubl

28 nts a relatively dark picture of dissent and deviance: as reflections of a lack of group loyalty, as

29 Self-reported peer-group deviance at ages 8 to 11, 12 to 14, 15 to 17, 18 to 21,

30 Interestingly, deviance-augmented responses were limited to a specific

31 ed method provides the correct value of mean deviance based on the exact likelihood function.

32 Examining local areas of positive deviance can inform cancer-control programming and plann

33 In the standard fixed-deviance condition, schizophrenia patients showed defici

34 ent), early-adolescence (self-esteem, social deviance, conduct disorder), late-adolescence (education

35 These deviance-detecting cells were spatially intermixed with

36 to V1 reduced the contextual selectivity of deviance-detecting ensembles, demonstrating a causal rol

37 ted whether behavioral and cortical auditory deviance detection (the latter indexed by the mismatch n

38 The P3a response - a marker of deviance detection - to mistuned targets was also found

39 ole of frontal cortex and Hgamma activity in deviance detection and PE generation.

40 ection between the underpinnings of cortical deviance detection and perception remains unknown.

41 of synaptic zinc on corticocollicular neuron deviance detection and results in poorer acuity of detec

42 ry brainstem responses (ABRs) to investigate deviance detection at population level in the lower stat

43 ual cortex exhibits strong unisensory visual deviance detection but weaker multisensory deviance dete

44 tificial sounds, indicating that subthalamic deviance detection depends on the behavioral meaning of

45 Deviance detection describes an increase of neural respo

46 found that metrics of predictive coding and deviance detection differ depending on the anesthetic st

47 an oddball paradigm and observed significant deviance detection effects in the ABR, specifically when

48 e that the memory traces underlying cortical deviance detection form a link between stimulus probabil

49 Auditory deviance detection has been associated with a human audi

50 Moreover, subcortical deviance detection has been studied with simple stimuli

51 Cortical deviance detection has been well characterized by a rang

52 volvement of the human auditory brainstem in deviance detection has not yet been demonstrated.

53 explain the sequential dynamics of auditory deviance detection in a time-resolved fashion.

54 We show that deviance detection in ABRs is significantly stronger for

55 ; however, we find a specific enhancement of deviance detection in corticocollicular neurons that ari

56 with animal studies, research on subcortical deviance detection in humans is often constrained by met

57 ously unknown characteristics of subcortical deviance detection in humans, this study highlights the

58 nvestigate the earliest neural correlates of deviance detection in humans, with a focus on the IC.

59 mplitude modulation affected the strength of deviance detection in the ABR.

60 We conclude that neural mechanisms of deviance detection likely reside in cortical areas outsi

61 4)(,)(5) However, the extent to which neural deviance detection manifests (1) in broader cortical net

62 ing framework,(6)(,)(7) we hypothesized that deviance detection manifests in a hierarchical manner ac

63 Thus, the memory traces underlying cortical deviance detection may provide a link between stimulus p

64 rstand the contributions of synaptic zinc to deviance detection of specific neurons, we performed wid

65 ect stimulus-specific adaptation rather than deviance detection per se.

66 oral resolution in investigating subcortical deviance detection processes.

67 nhibitory neurons and how it might relate to deviance detection remains elusive.

68 These results suggest that deviance detection signals in the cortex may be conceptu

69 pitched tones are available to the automatic deviance detection system that underlies the generation

70 in structures exhibit more advanced forms of deviance detection than previously known.

71 d that both behavioral and cortical auditory deviance detection uses transitional probabilities.

72 ared patterns of human Hgamma and LF-ERPs in deviance detection using electrocorticographic recording

73 If deviance detection was based on pattern probability, rev

74 If deviance detection was based on transitional probabiliti

75 We investigated the role of awareness in deviance detection while at the same time circumventing

76 e human IC exhibits rapid, stimulus-specific deviance detection with differential modulation of respo

77 ted to measure cortical responses related to deviance detection, and dynamic causal models quantified

78 excitatory neurons thus shares time course, deviance detection, and pharmacological features with th

79 Auditory deviance detection, the neural process by which unexpect

80 N, as well as P3a, another index of auditory deviance detection, to duration changes is evident even

81 This phenomenon, known as "deviance detection,"(1)(,)(2) is well documented in earl

82 l deviance detection but weaker multisensory deviance detection.

83 cortical region-displays robust multisensory deviance detection.

84 in particular, carries signatures of genuine deviance detection.

85 urons, this late component reflected genuine deviance detection.

86 iple anatomical and temporal scales of human deviance detection.

87 ed neural networks for active prediction and deviance detection.

88 ve confirmed early ( approximately 30-40 ms) deviance detection.

89 omically lower (i.e., thalamus and midbrain) deviance detection.

90 ollicular neurons in layer 5 all demonstrate deviance detection; however, we find a specific enhancem

91 at the MMN is a correlate of true change or "deviance" detection.

92 Assessment of deviance-detection thresholds showed that patients requi

93 Dominance deviance-deviation from additivity in the main or intera

94 The effect of deviance direction was not significant and no stimulus a

95 We found a deviance distraction effect on the animals' performance:

96 dhood parental loss, low self-esteem, social deviance, education, recent trauma, past and present psy

97 This stimulation also eliminated deviance encoding in L2/3 but did not impair basic stimu

98 ) also varied significantly between centers (deviance explained 7.33% vs 20.0%, p < 0.001).

99 trends may be assessed by the percentage of deviance explained and the relative contributions of coh

100 engthened considerably with 14,585 SNPs, the deviance explained by heterozygosity increasing almost f

101 ded and their individual contribution to the deviance explained ranged from 5.9% to 18.5%.

102 but also automatically delivers the correct deviance for model assessment.

103 information criterion and penalized expected deviance for seven Bayesian models of censored data are

104 The deviance for single component of the mixture model corre

105 The analysis of deviance for the APC regression models indicated that th

106 or height were used to estimate each child's deviance from average birth weight, birth length, weight

107 ene interactions has often been defined as a deviance from genetic additive effects, which is essenti

108 Resistance (initial postfire deviance from prefire condition) and resilience (return

109 idual markers in this interval, and possible deviance from strict autosomal dominant inheritance, we

110 cenarios characterized by various degrees of deviance from the usual main-term logistic regression mo

111 automatic approach to specifying the correct deviance function in JAGS, we propose a simple and gener

112 data misspecifies the default computation of deviance function, which limits likelihood-based Bayesia

113 sm-wide and to detect perturbation-dependent deviance in cell type composition relative to wild-type

114 potential elicited automatically by auditory deviance in CHR and early illness schizophrenia (ESZ) pa

115 Deviance in fetal growth at either distributional extrem

116 The authors calculated z scores of deviance in fetal growth from a reference curve using re

117 g aCFSs (explaining approximately 77% of the deviance in logistic regression models) and of aCFS brea

118 ained, on average, more than three times the deviance in longitudinal dynamics compared to factors sh

119 BRT models effectively predicted the deviance in neonicotinoid detection (62.4%) and concentr

120 ehaviour explained close to 80% of the total deviance in NHS test data.

121 ession analyses indicated that 4.5% to 9% of deviance in stroke mortality among BGs could be explaine

122 ty (non-Hispanic blacks) explains <2% of the deviance in stroke mortality among BGs.

123 oncept enabled the explanation of 77% of the deviance in sub-neighborhood DENV infections.

124 hical distance jointly explained most of the deviance in taxonomic (up to 86.4%) and phylogenetic tur

125 nds itself to investigation of developmental deviance in the early onset of schizophrenia.

126 nd environmental contributions to peer-group deviance in twins from midchildhood through early adulth

127 ystem, which reports all surprising auditory deviances in a robust and consistent manner, resembling

128 ings have implications for studies examining deviances in impulse control by showing that the develop

129 Mean and variance of peer-group deviance increased substantially with age.

130 in favour of the causal model), and also for deviance information criteria (DIC) computed for a range

131 ed lagged climate variables selected through Deviance Information Criterion (DIC), including mean tem

132 In the drug safety data application, the deviance information criterion and penalized expected de

133 rom 2 Bayesian model selection criteria: the deviance information criterion and the Watanabe-Akaike i

134 Deviance information criterion is applied to determine t

135 The Deviance Information Criterion was used to determine whi

136 transmission rates are compared by using the deviance information criterion.

137 proved the fit of the disease-mapping model (deviance information criterion: 2,140 with the indicator

138 C as an analytical measure for isotope ratio deviances instead of widely employed C deviances.

139 standardized, the heritability of peer-group deviance is approximately 30% at ages 8 to 11 years and

140 However, the authors show that dominance deviance is attenuated when it is observed at a proxy lo

141 g later and further downstream when stimulus deviance is complex.

142 wide association studies, so large dominance deviance is likely to be rare.

143 Peer-group deviance is strongly associated with externalizing behav

144 the correlation between childhood peer-group deviance levels and the subsequent slope of peer-group d

145 cific environmental influences on peer-group deviance levels were stable in the first 3 age periods a

146 ity norms in politics and religion, and this deviance may be essential to the academic mind and to ac

147 " (new vs neutral oddballs) from "contextual deviance" (neutral oddballs vs standard images) and "tar

148 This was confirmed for posterior mean deviances obtained for both models (11.5 natural log uni

149 re than the recommended dose was used (i.e., deviance of >2 sachets between available and expected st

150 terms, can explain up to 57% of the observed deviance of breakpoint proximity.

151 with social group members and ten times the deviance of factors shared across the host population.

152 on floral thermoregulation itself (i.e. the deviance of floral temperature from air) has not been qu

153 mate relationship between the log-likelihood deviance of model fit and the match times to infection b

154 lages are expected to be evident in temporal deviance of percent occurrence and/or relative species d

155 important key species jointly explained more deviance of productivity than any measure of functional

156 lysis of the statistical significance of the deviance of the averages for a number of global properti

157 ociation between item novelty and contextual deviance on the basis of decreases in either theta (4-8

158 f rules (institutions) that limit individual deviance organize cooperation in human societies, then i

159 evels and the subsequent slope of peer-group deviance over time resulting from genetic factors was po

160 strength of cultural norms and tolerance for deviance) over time, using the United States as a case s

161 cannabis use, having peers exhibiting social deviance, parents with legal involvement, and elevated s

162 Highly correlated deviance patterns between probands and unaffected siblin

163 Peer deviance (PD) strongly predicts externalizing psychopath

164 ors of less importance included tolerance of deviance, peer drug use, peer deviance, and exposure to

165 plex mechanism that is sensitive to auditory deviance per se.

166 To date it is poorly understood how and when deviance processing interacts with awareness and task re

167 Deviance processing was associated with the visual misma

168 essing, where lower levels display automatic deviance processing, whereas higher levels require atten

169 d task relevance of this input interact with deviance processing.

170 hood (divorce, stressful life events, social deviance, quality of life, history of alcohol or other s

171 For the small cetacean models, the explained deviance ranged from 16% to 69%.

172 For the large whale models, the explained deviance ranged from 32% to 52.5%.

173 in had the highest contribution to the model deviance reduction.

174 d through chi-square tests on the respective deviance reductions.

175 sult from genetically mediated developmental deviance reflecting greater susceptibility to schizophre

176 In concert with Deviance Regulation Theory, their framework offers a fou

177 We demonstrated that deviance-related activity is observed mainly in matrix r

178 ection, and dynamic causal models quantified deviance-related changes in effective connectivity.

179 We found deviance-related responses in both frequency bands over

180 opose to use the Martingale residuals or the deviance residuals obtained from the Cox model as contin

181 diagnostics was conducted by inspecting the deviance residuals.

182 administered the Bedford-Foulds Personality Deviance Scales.

183 We hypothesize that this deviance-sensitive, internally synchronized network of n

184 where in the ascending auditory pathway true deviance sensitivity first emerges.

185 If the IC exhibits true deviance sensitivity to intensity, IC neurons should sho

186 Genetic effects on peer-group deviance showed a strong and steady increase over time.

187 modeling framework in JAGS with the correct deviance specification, which can simplify the calculati

188 ition of the OCCR, as judged on the basis of deviance statistics, was bounded by nucleotides 3059-407

189 ome measures were self-reports of behavioral deviance, substance use, and personality, as well as DSM

190 , accounting for over 70% of the statistical deviance-surpassing the contribution of factors such as

191 0), and in an intron of TBCD) and rs8073471 (Deviance test P-value=2.77 x 10(-34)).

192 Models were compared with a deviance test.

193 isplay a persistent, long-lasting pattern of deviance that was largely independent of their brain dis

194 According to the positive deviance theory, the study of actual food expenditure by

195 Peer deviance was associated with future DA in the proband, w

196 4.36, p < .001; eta(2) = 0.06), and lockdown deviance was associated with greater depression (M = 7.9

197 Peer deviance was defined as the proportion of individuals bo

198 nderstanding the risk factors for peer-group deviance will help clarify the etiology of a range of ex

199 olating mutants with the greatest phenotypic deviance, with the hopes of discovering genes that are c