ライフサイエンスコーパス: word

1 ontexts (e.g., a single phoneme in different words).

2 en again at the presentation of the auditory word.

3 usion by a factor of 20% for each additional word.

4 memory as repeated presentation of a single word.

5 c meaning, such as to emphasize a particular word.

6 lated the predictability of the final target word.

7 al from the previous reading of the same non-word.

8 al negativity (LFN) elicited by the isolated word.

9 th the predictability of the upcoming target word.

10 e words presented in concomitance with other words.

11 are reinstated during the retrieval of those words.

12 es in the ordering relationships between the words.

13 d during tasks involving emotional faces and words.

14 ely 400 ms) during the encoding of congruent words.

15 oding of subsequently recalled and forgotten words.

16 while human participants listened to spoken words.

17 ely 400 ms) during the encoding of congruent words.

18 estures along with more categorical signs or words.

19 tive memory task involving learning a set of words.

20 creases false recall of semantically related words.

21 omain-specific network that does not process words.

22 d for the recognition of written letters and words.

23 isteners' brain activity as they hear spoken words.

24 ted phrases rather than a linear sequence of words.

25 emory algorithm for computing minimal absent words.

26 on supporting the semantic representation of words [9-11], as participants performed a verbal paired-

27 3 free associations take the lead in driving word acquisition.

28 nd word selection, which chooses the correct word among semantically related competitors.

29 ognition posits that brain areas involved in word and face recognition are functionally integrated.

30 To understand how these regions mediate word and face recognition, it is necessary to characteri

31 Combat-related words and generically negative words were presented in s

32 are accessing the stored form and meaning of words and how the competition between different word can

33 uent semantic categories enhances memory for words and increases false recall of semantically related

34 ovided by a category cue enhances memory for words and increases false recall.

35 ncy-Inverse Document Frequency in the bag-of-words and Latent Dirichlet Allocation in the topic model

36 Learning the associations between words and meanings is a fundamental human ability.

37 ity to identify correct associations between words and meanings under referential indeterminacy.SIGNI

38 a are composed of sequential tokens, such as words and nucleotides that give rise to higher order syn

39 ce infancy might shape the representation of words and other linguistic stimuli - for example, incorp

40 ubMed and EMBASE from 1966 to 2015 using key words and relevant subject headings for randomized contr

41 ocation of the VWFA responds both to written words and to the grammatical complexity of spoken senten

42 and during self-identification with positive words and vigilance scores increased to positive faces a

43 uld speak in short utterances (fewer than 20 words) and ask interpreters to interrupt in order to fac

44 nd places), artificial categories (numerals, words) and geometric features (curvature and real-world

45 on and lexical decision of real and nonsense words, and (c) novel word learning.

46 res varied by target (phonemes or syllables, words, and sentences) and masker type (unmodulated noise

47 y specialized for lexical processing of real words, and that a fundamental factor driving this specia

48 layers in predicting the ordering with which words are acquired.

49 phenanthrene fractional removal (italicized words are defined within the main text) by pulverized gr

50 esults demonstrate how subtle differences in words are gradually accumulated and amplified along the

51 entify a cerebellar area that is active when words are predicted and when these predictions are viola

52 Here we show that when critical words are strongly expected in their sentence context, a

53 test (logical memory), and a controlled oral word association task (vegetable naming), implementing a

54 l Memory, Animal Naming, and Controlled Oral Word Association Test).

55 Recall of picture-word associations and subjective ratings of pleasantness

56 Although sentences unfold sequentially, one word at a time, most linguistic theories propose that th

57 s specialized for lexical processing of real words because of its functional connectivity with Wernic

58 When some scientists hear the word "bioethics," they break out in intellectual hives.

59 mant transitions, and phoneme, syllable, and word boundaries.

60 learning with SIFT image feature and bag-of-word (BoW), a representative method for image recognitio

61 mance on a semantic classification task with words but not other categories of visual stimuli.

62 elligence enabled us to move beyond counting words by detecting references to named entities.

63 sed human intracranial recordings and visual word-by-word presentation of sentences and word lists to

64 ds and how the competition between different word candidates is resolved neurally in real time.

65 f the lexical and semantic properties of the word candidates matching the speech input and competitio

66 In other words, channel opening is a highly concerted, switch-lik

67 Small changes in word choice can lead to dramatically different interpret

68 aging-based structural connectome), auditory word comprehension and object recognition tests were obt

69 s, and cingulate cortex, was associated with word comprehension difficulties after factoring out obje

70 Auditory word comprehension is a cognitive process that involves

71 nd inferior temporal regions are crucial for word comprehension, serving as a hub to integrate audito

72 uditory cortex are primarily responsible for word comprehension.

73 g that the left temporal pole is crucial for word comprehension.

74 d from genes, metabolites, species, neurons, words, computers, and trading nations-into two distinct

75 We suggest that the word "consciousness" conflates two different types of in

76 lready before the presentation of a critical word, context-induced semantic predictions are reflected

77 n a sentence but decreased suddenly whenever words could be merged into a phrase.

78 ks and simple analytics based essentially on word counts.

79 ing the number of expected from the observed word counts.

80 mbiguous situations and positive or negative words defining the situations' outcome.

81 e capable of retaining the sound of specific words despite hearing other stimuli during encoding.

82 al differences did not occur when changes in words did not alter the interpretation of the story (e.g

83 ontent is through making PDF, PowerPoint and Word documents available online.

84 l hand motor areas for expected hand-related words (e.g., "write"), but in ventral motor cortex for f

85 tween predicted face- or hand-related action words (e.g., the words "lick" or "pick") and between aff

86 cytes adopts a directional pattern; in other words, E4 adopts the most closed conformation, E2 adopts

87 enomena-the automatic imitation of another's words (echolalia) or actions (echopraxia) [1].

88 tics) and disinhibition (uttering syllables/words, echolalia/palilalia, coprolalia/copropraxia, and

89 by combining conditional random fields with word embedding features learned unsupervised from the en

90 New tools include GO, metabolic pathway and word enrichment analyses plus an online workspace for an

91 or AK is significantly affected by physician wording, especially with alterations in the presentation

92 For word-final /s, z/ detection, performance was significant

93 osition, Fcomp) on consonant identification, word-final /s, z/ detection, the intelligibility of sent

94 In summary, Fcomp improved word-final /s, z/ detection.

95 s comprising slowed speech and mentation and word-finding difficulty).

96 In other words, first and second approaches were designed to empl

97 Stroop Test, Letter-Digit-Substitution Test, Word Fluency Test), mood (Center for Epidemiological Stu

98 rmed using medical subject headings and text words for pulmonary hypertension and health disparities.

99 man cortex.SIGNIFICANCE STATEMENT The visual word form area (VWFA) is a region in the human cortex th

100 The visual word form area (VWFA) is a region in the left occipitote

101 cke's area.SIGNIFICANCE STATEMENT The visual word form area (VWFA) is critical for determining the na

102 nd word-selective region known as the visual word form area (VWFA) within the human ventral visual ob

103 segmentation, a process implicated in visual word form recognition.

104 Hebb repetition learning task that simulates word-form learning.

105 mergence of working memory for syllables and word forms is a functional consequence of this structura

106 sults suggest that learning new phonological word forms is mediated by the arcuate fasciculus, these

107 esults showed that learning new phonological word forms is supported by the arcuate fasciculus, these

108 can improve implicit, procedural learning of word-forms in adults.

109 al cortex competes with implicit learning of word-forms.

110 e learning method together with the relative word frequencies as features of viruses can be used to p

111 relative word frequency and three normalized word frequencies by subtracting the number of expected f

112 esize that machine learning methods based on word frequencies can be efficiently used to study virus-

113 nvestigate four different representations of word frequencies of viral sequences including the relati

114 Based on word frequencies, we estimate that about 95% of the iden

115 es of viral sequences including the relative word frequency and three normalized word frequencies by

116 The random forest together with word frequency vector outperforms current available meth

117 hat random forest together with the relative word frequency vector performs the best in identifying v

118 methods based on the similarity between the word frequency vectors of viruses and bacterial hosts ha

119 anial recordings obtained during encoding of words from 101 patients was used to detect, characterize

120 monstrate that (1) the VWFA can discriminate words from nonword letter strings (pseudowords); (2) the

121 The word "gig" applies to a multipronged metal tool for hunt

122 ture is enriched dependency structure, as in Word Grammar.

123 The nature of the visual representation for words has been fiercely debated for over 150 y.

124 he biological significance of minimal absent words has been investigated in genomes of organisms from

125 In other words, herein the recent efforts made to introduce selec

126 was maternal HIV disclosure (full [using the word HIV], partial [using the word virus], or none) at 9

127 In other words: Humans treat filled-in inferred percepts as more

128 elieving" and "a picture is worth a thousand words." Iconic photos stir our emotions and transform ou

129 The SRP precedes critical words if a previous sentence context constrains the upco

130 h-gamma power increased with each successive word in a sentence but decreased suddenly whenever words

131 typically involves repeated exposure to the word in the same or a similar context until the link cry

132 erged when newborns listened to the familiar word in the test phase.

133 Participants recognized spoken words in a visual world task while their brains were sca

134 lly explicit solution for the recognition of words in continuous speech.

135 o distinct narratives by changing only a few words in each sentence (e.g., "he" to "she" or "sobbing"

136 hurdle to the computation of minimal absent words in large datasets.

137 bserved that the presence of moral-emotional words in messages increased their diffusion by a factor

138 that inner speech - the silent production of words in one's mind - is also associated with an efferen

139 ning group could correctly identify 25% more words in spoken sentences or digit sequences presented i

140 "You" is one of the most common words in the English language.

141 rning a new vocabulary establishes the novel words in the language system.

142 ed noise-compensation for spoken and printed words in two experiments.

143 ts independently of view angle and lighting, words independently of volume and pitch, and smells inde

144 cognition propose that the onset of a spoken word initiates a continuous process of activation of the

145 Medical comorbidity and Color-Word Interference test performance were neither general

146 We used the Stroop color-word interference test to evaluate executive inhibition.

147 w significant locus at 7p22.3 for the Stroop word interference time (rs11514810, P=3.42E-09 for disco

148 esses syntactically well-formed sequences of words into a hierarchy of nested phrases.

149 SIGNIFICANCE STATEMENT: Understanding spoken words involves complex processes that transform the audi

150 which continues until the point at which the word is differentiated from all other cohort candidates

151 At this point, the word is recognized uniquely and only the target word's s

152 tested whether learning the meaning of a new word is related to the integrity of the language-related

153 We argue that visual attention and number word knowledge influence each other over development and

154 Self-reported word knowledge ratings increased for those words that we

155 he media of (re)presentation (musical sound, words/language, color, shapes) on emotion perception, an

156 hese findings suggest that, even in neophyte word learners, cross-word relations are formed early and

157 re fundamental for the initial stages of new-word learning and, remarkably, related to both types of

158 t parkinsonism, whereas the association with word learning delayed-task scores was weaker (HR, 1.18;

159 the white matter pathways that support novel word learning within this network remains unclear.

160 tter-digit substitution, verbal fluency, and word learning) and a global cognition score was derived

161 ially all the multiplex layers contribute to word learning, after about month 23 free associations ta

162 e, by using contextual and cross-situational word learning, we tested whether learning the meaning of

163 ng and, remarkably, related to both types of word learning.

164 on of real and nonsense words, and (c) novel word learning.

165 uncinate was predictive of cross-situational word learning.

166 -longitudinal fasciculus to be predictive of word-learning success in two word-to-meaning tasks: cont

167 ace- or hand-related action words (e.g., the words "lick" or "pick") and between affirmative and nega

168 demonstrates improved readout margin (>2(9) word lines) suitable for x-point memory array applicatio

169 a mechanism can learn a multi-item WM task (word list learning).

170 try for Alzheimer's Disease (CERAD) battery (Word List Learning, World List Delayed Recall, Semantic

171 d, patients showed (1) poorer performance in word list-based learning (P = 0.028) and (2) a general s

172 nce task occurring right after each encoding word list.

173 ents in cognitive functioning were found for word-list learning (MAAT/placebo>ABT/placebo), nonverbal

174 Word-list memory was modeled via inverse-probability wei

175 ditioning domain, studies testing memory for word lists or stories find that a reminder can renew fle

176 l word-by-word presentation of sentences and word lists to investigate how left-hemispheric brain act

177 ask of encoding and immediate free recall of word lists.

178 online database, applying the following key words: "management" AND "PET" AND "neuroendocrine".

179 I focus on the representation of word meaning in a discussion of semantic variant PPA, gr

180 zing the sound based on long-term memory for word meaning.

181 d bodily signs as means of delivering stable word meanings.

182 maximum reading speed (mean increase of 21.0 words/min; 95% CI, 6.4 to 35.5; P = .005), but not criti

183 T Statement extension for NPT trials include wording modifications to improve readers' understanding

184 the disadvantage for spelling-sound atypical words more for the individuals with stronger semantic re

185 ared "Alles ist Blatt", and first coined the word morphologie, which inspired the French anatomist Cu

186 In other words, networks that differ markedly in their global str

187 , i.e. a multi-layered network where N = 529 words/nodes are connected according to four relationship

188 nd the NICE evidence databases using the key words: nursing, nurse led, nursing interventions and pat

189 t academic and non-academic medical centres, word of mouth, and existing patient registries.

190 e algorithm for computing all minimal absent words of a sequence of length n on a fixed-sized alphabe

191 ued clear clinical communication, as well as words of reassurance.

192 For instance, three minimal absent words of the human genome were found in Ebola virus geno

193 the sentence completion task, the first four words of the sentence modulated the predictability of th

194 In other words, older adults may ultimately be able to engage the

195 his allows for computation of minimal absent words on far bigger data sets than was previously possib

196 n of processing routines that map strings of words onto semantic representations (and vice versa) wit

197 ression analyses showed that each additional word or multiword phrase contributed a similar amount of

198 ion that either explained the meaning of the word or was a true, but uninformative statement.

199 their lifetime, often after being cued with words or pictures.

200 both systems combine categorical linguistic (words or signs) with imagistic (gestures) components.

201 In other words our model, distinctively, predicts only center-lef

202 ns on a dot probe task with negative-neutral word pairs.

203 participants, compared to controls, read 46 words per minute (wpm) slower on MNRead (95% confidence

204 d the targets to which they respond, such as words, pictures, or individuals).

205 n intracranial recordings and visual word-by-word presentation of sentences and word lists to investi

206 vents, the predominant type, were induced by word presentations following an initial induction of bro

207 healthy newborns on their ability to encode words presented in concomitance with other words.

208 ntials from participants who read unfamiliar words presented in isolation followed by a definition th

209 all, however, we found no evidence of global word processing deficits in DP, consistent with a dissoc

210 ities, we ran a battery of 7 tasks examining word processing in a group of DP cases and controls.

211 ccounts suggest that impairments in face and word processing need not go hand in hand.

212 ent with a dissociation account for face and word processing.

213 magnetic resonance imaging experiments: (1) word reading (Braille for blind and print for sighted pa

214 All changes except Stroop word reading and total functional capacity remained sign

215 git modality test r=-0.374, p<0.0001; Stroop word reading r=-0.248, p=0.0033), total functional capac

216 cally predicted testosterone with delayed 10-word recall score and Mini-Mental State Examination (MMS

217 Although it is well established that spoken word recognition engages the superior, middle, and infer

218 Influential cognitive models of spoken word recognition propose that the onset of a spoken word

219 ship to pure tone audiometric thresholds and word recognition scores in comparison to age-matched con

220 Pure tone average closely agrees with word recognition scores in the case of severe neural pat

221 Participants completed three tasks: (a) word recognition, (b) repetition and lexical decision of

222 y assesses associations between HL measures (word recognition, numeracy, and conceptual knowledge) an

223 s that is purportedly specialized for visual word recognition.

224 the neural substrate for the first 500 ms of word recognition.

225 many model predicts should negatively affect word recognition.

226 ith elevated audiometric thresholds and poor word recognition.

227 nks: common noun "copresence" (i.e., whether words' referents were present and attended to in home re

228 dentified using indexing terms and free-text words related to child, target condition IBD, and diagno

229 that, even in neophyte word learners, cross-word relations are formed early and the home learning en

230 for a hallmark of the mature lexicon: cross-word relations.

231 melodic or "sing-song" wherein identifying a word relies on what comes before and after.

232 rs, than was change in another task-auditory word repetition-which requires articulation but not word

233 The data do not support a modular view of word retrieval in speech production but rather support s

234 Word retrieval is core to language production and relies

235 rmitting detailed spatiotemporal analysis of word retrieval processes.

236 Spikes also reduced the odds of word retrieval, an effect that was stronger with spikes

237 petition-which requires articulation but not word retrieval.

238 nge in written object naming, which requires word-retrieval but not articulation, was also significan

239 This suggests that these regions serve word-retrieval or articulatory functions in the undamage

240 t naming reflected variation at the level of word-retrieval processes.

241 In other words, robust decision strategies increase the brain's r

242 d is recognized uniquely and only the target word's semantics are active.

243 ment, but their relative performance in real-word scenarios is poorly characterized.

244 e literature that suggest assessment of real-word search tasks in these patients could be clinically

245 In contrast, word selection is indexed by semantic interference and i

246 l overlap of lexical-semantic activation and word selection mechanisms in the brain.

247 ts linked to lexical-semantic activation and word selection observed in widespread regions of the cor

248 f lexical and conceptual representations and word selection, which chooses the correct word among sem

249 read causes the development of a letter- and word-selective region known as the visual word form area

250 nkeys and humans in response to the nonsense word sequences show strikingly similar hierarchically ne

251 In other words, similar elevations across different mountains or

252 f them, the AUC is higher than 0.98 when the word size is 6 indicating the high accuracy of using mac

253 In other words, solvent effects are not the primary criteria that

254 at the VWFA is a domain-general, rather than word-specific, visual processor with no preferential fun

255 t it serves as a domain-general, rather than word-specific, visual processor.

256 We find evidence for cross-word structure: On seeing two images of common nouns, in

257 but in ventral motor cortex for face-related words ("talk").

258 and inverted interference task Stroop color word test (HR, 1.56; 95% CI, 1.25-1.96) scores were each

259 Change in Stroop Color-Word Test performance between postoperative days 3 to 4

260 Four tests were administered (Stroop color word test, letter-digit substitution, verbal fluency, an

261 ty, symbol digit modalities test, and Stroop word test.

262 The key words used were words that described meal time assistance for adult pati

263 d word knowledge ratings increased for those words that were followed by meaningful definitions and w

264 In words, the effect of space is equivalent to making chang

265 In other words, the electrocatalytic properties of the PtNPs are

266 In other words, the hippocampus not only disambiguated overlappin

267 In other words, the presence of IMF conditionality decreases the

268 In other words, the present study suggests that organic molecular

269 In other words, the RNA ligand-centric approach taken here overco

270 In other words, there must be pervasive and ongoing horizontal ge

271 nd coordinate an additional ligand; in other words, they are boron metallomimics.

272 udies estimated a 10-fold increase (in other words, times 10) in PBDE exposure associated with a decr

273 The search included indexed terms and text words to capture concepts associated with e-cigarettes a

274 Early processing linking auditory words to concepts is situated in posterior lateral tempo

275 these findings demonstrate that learning new word-to-meaning associations is mainly dependent on temp

276 f the white matter pathways supporting novel word-to-meaning mappings remains unclear.

277 e predictive of word-learning success in two word-to-meaning tasks: contextual and cross-situational

278 pre-morbid" reading status, stimulation, and word type, such that TMS increased the disadvantage for

279 Learning a new concept and corresponding word typically involves repeated exposure to the word in

280 tal language output and patterns of function-word use covaried with CTRA gene expression.

281 The two modules in PEP (PEP-Motif and PEP-Word) use different but complementary feature extraction

282 Title words used were computed tomography or computed tomograp

283 The key words used were words that described meal time assistanc

284 lve more complex verbal stimuli (e.g. longer words versus digits); and (iii) it is involved in sponta

285 ull [using the word HIV], partial [using the word virus], or none) at 9 months post baseline.

286 mes when participants decided whether a real word was accurately paired with a picture of an object.

287 ithm for obtaining vector representations of words was compared with the open-source application PeFi

288 In other words, we interpret its reciprocity with living cells in

289 Monosyllabic words were presented in four conditions that created sim

290 ombat-related words and generically negative words were presented in separate blocks.

291 Half of the words were re-presented during postlearning sleep (i.e.,

292 f performance as infants, even though target words were simple and highly familiar.

293 The following key words were used, with associations among them: "dental i

294 In other words, when the task requires detecting stimulus presenc

295 ceding context strongly predicted the target word, whereas other sentences were nonpredictive.

296 w that stochastic drift is stronger for rare words, which may explain why rare forms are more prone t

297 ary in their reliance on meaning for reading words with atypical correspondences between spelling and

298 sms reflecting how the active integration of words with congruent semantic categories enhances memory

299 We showed that actively integrating words with congruent semantic information provided by a

300 onkeys were exposed to sequences of nonsense words with regularities in the ordering relationships be