ライフサイエンスコーパス: watching

1 th even lower weight when substituted for TV watching.

2 physical activity and by limiting television watching.

3 s levels of physical activity and television watching.

4 exercise participation as well as television watching.

5 tion states across participants during video watching.

6 f brain activity and the experience of movie-watching.

7 ities and made choices about whether to keep watching.

8 the protagonist, the more hours people spent watching.

9 on television when children are likely to be watching.

10 ntegration, is the most engaged during movie watching.

11 ecode thoughts and inner states during movie watching.

12 ectivity during rest is reduced during movie watching.

13 alking replaced 60 minutes/day of television watching.

14 rted weekly physical activity and television-watching.

15 BMI strengthened with increased hours of TV watching.

16 ary behavior as indicated by television (TV) watching.

17 , but how does group dance affect the people watching?

18 (2) higher BMI across the 5 categories of TV watching (0-1, 2-5, 6-20, 21-40, and >40 h/wk; P for int

19 ith <6 or >8 hours of sleep), and television watching (0.31 lb per hour per day).

20 nal associations between baseline television watching (2008/2009) and cognition 6 years later (2014/2

21 anic black children had the highest rates of watching 4 or more hours of television per day (42%).

22 he Conversation intervention, which involved watching 5 videos (5-7 minutes each) of Black veterans s

23 y of 30 human participants (male and female) watching a 50 min movie and found that event boundaries

24 m awake infants (and adults, for comparison) watching a cartoon and used a hidden Markov model to ide

25 a token worth a high-value food reward after watching a conspecific model exchange 2 differentially r

26 at DA release will increase, suggesting that watching a conspecific receive reward is a favorable out

27 , in observer rats learning to run a maze by watching a demonstrator's spatial trajectories from a se

28 We predicted that while watching a drug-themed movie, where cues for drugs and o

29 gical needs (e.g., feeling less lonely after watching a favorite movie).

30 The subjects were videotaped while watching a funny television (TV) program.

31 assigned to watch a gun or car safety video, watching a gun safety video reduced children's unsafe be

32 nts answered such questions before and after watching a lively 5-min video, which taught them the rud

33 l actions in order to receive rewards, while watching a movie inside a 7 T MRI scanner.

34 Real-life activities, such as watching a movie or engaging in conversation, unfold ove

35 een fundamentally different options, such as watching a movie or going out for dinner.

36 and during passive audiovisual stimulation (watching a movie) in 15 otherwise healthy Alzheimer pati

37 y distributed while engaged in a task (i.e., watching a movie).

38 hysiological data from ten epilepsy patients watching a movie.

39 resting, performing a sensorimotor task, and watching a movie.

40 ration (50 ms) and frequency (1200 Hz) while watching a silent movie.

41 regions is modulated by likability even when watching a simple action such as reaching for a cup.

42 Watching a speaker's face improves speech perception acc

43 Watching a speaker's lips during face-to-face conversati

44 Watching a speaker's mouth movements significantly impro

45 troencephalographic (EEG) measurements while watching a subset of the video-clips.

46 Watching a video (37.3%) and text messaging (30.8%) were

47 ed a directed imagination task that required watching a video of a figure travelling towards a barely

48 be because listening to a story, rather than watching a video, is a more active process of co-creatio

49 10 days apart in randomized order: one while watching a videotape that presented cigarette-related cu

50 Our results suggest that television watching, alcohol intake, and sleep deprivation are not

51 most prominent lifestyle factors-television watching, alcohol intake, and sleep deprivation-had sign

52 n adiposity and behaviors such as television watching, alcohol intake, and sleep deprivation.

53 omatic complaints), as well as weekday video watching (all ps = 1.2 x 10(-7) - 2.5 x 10(-4), all p(FD

54 ding small print on an Amazon Kindle and (2) watching an animated movie on liquid crystal display scr

55 nd handling a cigarette, and the other while watching an educational (nature) videotape and handling

56 lying still in a semi-supine position while watching an emotionally neutral video.

57 earched an enclosure for a hidden item after watching an experimenter hide a miniature item in the an

58 After watching an instructional video, attendees felt that the

59 of this work is to introduce a new tool for watching an RNA genome direct its own packaging and enca

60 relatively active lifestyle (<10 h/wk of TV watching and > or =30 min/d of brisk walking).

61 fect between 1.5 hour increase in television watching and CAD (OR 1.44, 95%CI 1.25-1.66, P = 5.63 x 1

62 nformation on sedentary behavior (television watching and computer time) and physical activity was ob

63 following cognitive boundaries during movie watching and following stimulus onsets during memory ret

64 stics and informal experimentation, and from watching and listening to others.

65 fMRI during naturalistic experiences (movie watching and narrative listening), we show that three to

66 izes the importance of reducing prolonged TV watching and other sedentary behaviors for preventing ob

67 leisure time physical activity (LTPA) and TV watching and overall and disease-specific mortality amon

68 suggested that, for females, higher TV/video watching and PC/Internet use was related to higher MH ch

69 males' MH challenges increased ST (TV/video watching and PC/Internet use) in adolescence.

70 The interactions of TV watching and physical activity with genetic predispositi

71 Television watching and playing of video games (VGs) are associated

72 ous children, we have progressed from merely watching and playing with our toys to the more exciting

73 play in the multi-modal experience of movie-watching and provide evidence for the role of associatio

74 and even across the different tasks of movie watching and recall.

75 Wales experienced with the Mini-CEX, with 20 watching and scoring 3 good trainee performances and 21

76 d scoring 3 good trainee performances and 21 watching and scoring 3 poor performances.

77 de synchronizes across subjects during movie watching and that high-amplitude frames carry detailed i

78 The associations of television watching and vigorous activity with leptin and HDL chole

79 m leisure-time physical activity, television watching, and biomarkers of CVD risk among 468 healthy m

80 take, physical activity, hours of television watching, and body mass index.

81 els of indoor activity, outdoor activity, TV watching, and sleeping time.

82 oxically, the hierarchy is flatter for movie-watching, and the level of nonreversibility is significa

83 iew was obscured) or while a conspecific was watching, and then recover their caches in private.

84 m cotinine level, caloric intake, television watching, and urinary creatinine level, children in the

85 istinct brain activation states during movie watching, and youths with anxiety spent more time in a s

86 10 normal volunteers were PET scanned while watching animated sequences.

87 and child engage in a typical dyadic task of watching animation videos together.

88 striate cortex, which was highly active when watching animations that elicited mentalizing, showed th

89 Watching another person being touched activates a simila

90 The simple act of watching another person can change a person's behaviour

91 When watching another person's actions, a network of sensorim

92 ith positive attitudes (e.g., an interest in watching another video by the speaker, feeling connected

93 not clear whether regular PA and television watching are associated with clinical depression risk.

94 hile anticipating and experiencing pain, and watching as a stranger anticipated and experienced pain.

95 The average number of hours of television watching assessed in 1994 was significantly positively a

96 arger MEP amplitudes in the arm muscles when watching ballet compared to when they watched other perf

97 perception was associated with increased TV watching (beta = 0.3 hours per day [95% CI, 0.2-0.5 hour

98 Yet imaging offers the unique advantage of watching biological circuits function over time at singl

99 Watching biological molecules provides clues to their fu

100 r cooperate in public, where many others are watching, but try to get away with defection in private

101 Disturbance from whale-watching can cause significant behavioural changes with

102 These experiments show that television watching can dishabituate eating or disrupt the developm

103 metabolites, controlling for sex, television watching, caregiver education, caloric intake, poverty-i

104 lationships; associations with weekday video watching, caregiver somatic problems and caregiver repor

105 liquid interfaces and enabled the vision of "watching chemistry in action".

106 e anterior cingulate was evident in patients watching cocaine-cue tapes but not in patients watching

107 eprivation (Cohen's d = 0.49) and television watching (Cohen's d = 0.2).

108 show that children's neural responses while watching complex real-world stimuli predict their cognit

109 itively associated with look durations while watching complex, audiovisual stimuli involving social c

110 how to recognize rewarding flower colors by watching conspecifics from behind a screen, and we found

111 blue tits also learned more efficiently from watching conspecifics, whereas great tits learned simila

112 group of viewers will blink less often when watching content that they perceive as more important or

113 sual experience has on motor simulation when watching dance, by measuring changes in corticospinal ex

114 approach using human fMRI data during movie-watching data and a continuous experimental paradigm.

115 Using movie-watching data from the Human Connectome Project, we buil

116 entation generalized to two additional movie-watching datasets with different participants viewing di

117 ith higher weight, eating, and weekday video watching during childhood as well as caregiver somatic p

118 e time course of brain activity or the movie-watching experience.

119 on a university campus where signs featuring watching eyes and a related verbal message were displaye

120 Displaying images of 'watching eyes' has been shown to make people behave in m

121 uggests that the AON is more responsive when watching familiar compared with unfamiliar actions.

122 hierarchy vicariously (as 'bystanders'), by watching fights between rivals arranged around them in s

123 les) underwent a functional MRI (fMRI) while watching first-person videos of bullying (victimization)

124 Using a naturalistic movie-watching fMRI paradigm, we find that greater parent-chil

125 ion permeates daily activities, such as when watching for the correct series of buildings to determin

126 ing over 50,000 brain images of participants watching Forrest Gump from the studyforrest dataset, we

127 and were more likely to express interest in watching further.

128 nt 1, both the novel food and the television watching groups reinstated responding for food (P = 0.00

129 rospectively collected prebombing television-watching habits did not change the findings.

130 Participants were asked about television-watching habits in 1992.

131 tching cocaine-cue tapes but not in patients watching happy or sad tapes or in healthy subjects under

132 out weight gain despite regular exercise and watching her diet.

133 By watching how children and adults who do not already have

134 patients, the post-PET strategies changed to watching in 37% and treatment in 48%.

135 PA predicted less television (TV)/video watching in females, and TV/video watching predicted per

136 bstitution gradient was found for television watching, in which its association with depression risk

137 the larger their MEPs were in the arms when watching Indian dance.

138 dyads, and the aesthetic value derived from watching individuals moving in these ways.

139 rticographic (ECoG) signals from individuals watching intact and scrambled movies.

140 Movie-watching is a central aspect of our lives and an importa

141 ed sedentary behaviour by leisure television watching is a risk factor for CAD.

142 ly interacting in the environment and merely watching it should challenge researchers to look further

143 eotape were significantly less anxious after watching it than the women in the other group.

144 in 19 healthy volunteers (11 male/8 female) watching IVR renderings of anatomically plausible (full-

145 g cues fundamentally shape the experience of watching joint actions, directly influencing how beautif

146 ore in both male and female volunteers after watching laughter-inducing comedy versus non-laughter-in

147 er to spend time building business skills or watching leisure videos.

148 e association analyses of leisure television watching, leisure computer use and driving behaviour in

149 We analyzed interactions between TV watching, leisure time physical activity, and genetic pr

150 nces only exist among respondents who prefer watching local news, and there are no differences in med

151 teinizing hormone ratio were detected in men watching many hours of television.

152 dentary lifestyle, indicated by prolonged TV watching, may accentuate the predisposition to elevated

153 could also have a determinant influence when watching more complex actions, as in dance performances.

154 Watching movies is among the most popular entertainment

155 able functional MRI datasets of participants watching movies to build predictive models of moment-to-

156 use at bedtime, and duration of device use, watching movies, social networking, and screen brightnes

157 y students and their neural similarity while watching naturalistic audio-visual stimuli (specifically

158 ganization of functional brain activity when watching naturalistic films compared to performing seven

159 ta from the visual cortex of the awake mouse watching naturalistic stimuli and show that a similar mo

160 h of cognitive tasks (stressed activity) and watching nature documentaries (relaxed activity).

161 ore when watching positive stimuli than when watching negative stimuli.

162 amplitudes across all tone intensities while watching negative, positive and neutral pictures.

163 designed to examine the effect of television watching on habituation of ingestive behavior in childre

164 By watching one molecule fold at a time, using single-molec

165 Watching others being touched activates brain areas repr

166 rved affective touch (i.e., being touched or watching others being touched) were assessed using facia

167 t certainly exploited by game shows, yet why watching others win elicits a pleasurable vicarious rewa

168 ajor) predators learn about prey defences by watching others.

169 ts, coupled with a lack of visual experience watching ourselves in the world, has long implicated non

170 often mutually exclusive tasks: feeding and watching out for predators (anti-predator vigilance).

171 Watching over the critical path is the project manager's

172 When a child reaches toward a cookie, the watching parent knows immediately what the child wants.

173 Average hours of television watching per week assessed in 1988-1994 was positively a

174 t of fat-free mass, height, race, television watching, physical activity, systolic blood pressure, lu

175 wing participants were scanned in fMRI while watching political video clips just before the elections

176 ht- and left-wing participants (45% females) watching political videos (e.g., campaign ads and politi

177 large proportion of adolescent boys reported watching pornography (27.08% at waive 1 and 49.39% at wa

178 active [Coef: 0.058; p < 0.001] and reported watching pornography [Coef: 0.017; p < 0.001] were more

179 differences were even more pronounced while watching positive emotional pictures.

180 individuals did not behave differently when watching positive or negative stimuli than in the neutra

181 uals leaned more forward and moved more when watching positive stimuli than when watching negative st

182 For both LTPA and TV watching, postdiagnosis measures independently explained

183 (TV)/video watching in females, and TV/video watching predicted personal computer (PC)/Internet use i

184 Watching reactions on the single-molecule level provides

185 also found using fMRI in human participants watching reinforcing video clips that there is reciproca

186 toward high depression risk when television watching replaced a faster walking pace (relative risk =

187 vity with primary visual cortex during movie-watching, resting-state, and retinotopic-mapping experim

188 ions are elicited under standard conditions (watching sad and amusing emotional films, being startled

189 were abnormal in cocaine-dependent subjects watching sad tapes, suggesting more general affective dy

190 in losses to the incumbent fishery and whale-watching sectors and could generate >$10 billion in extr

191 e wind energy, commercial fishing, and whale-watching sectors in Massachusetts and identify and quant

192 ng naturalistic fMRI paradigms such as movie watching should be a priority for future research effort

193 regulations to mitigate the impact of whale-watching should include noise emission standards.

194 bMed to collect articles relating television watching, sleep deprivation, and alcohol consumption to

195 change were found for each activity type (TV watching, slow walking, brisk walking, jogging/running)

196 During video watching, somatotopic tuning explains responses througho

197 Watching someone scratch himself can induce feelings of

198 Experience playing and watching sports has enduring effects on language underst

199 magnetic resonance imaging, we asked whether watching such a video suffices to rapidly change the bra

200 Normal observers watching such displays immediately recognize a person an

201 simultaneously considering PA and television watching suggested that both contributed independently t

202 e or vigorous activity (69 minutes/day), and watching television (30 minutes/day) were associated wit

203 household income (R(2) = 0.032; P = 1e-22), watching television (R(2) = 0.034; P = 5e-47), and mater

204 ity are unclear, and the association between watching television (TV) and mortality in survivors of C

205 Bs were divided into two domains: time spent watching television (TV) or time spent using a computer.

206 Less time spent watching television and in other sedentary behaviors suc

207 association between the amount of time spent watching television during adolescence and early adultho

208 rtly after birth as they now begin regularly watching television earlier than they did in the past.

209 Watching television for more than 3.5 hours per day is a

210 Children spending longer periods watching television had shorter sleep duration.

211 Watching television is not longitudinally associated wit

212 me spent sitting at home, at work, and while watching television were included in the analysis, which

213 roviding care for the index case patient and watching television with the index case patient were ris

214 paring women who spent 21 hours/week or more watching television with those who spent 0-1 hour/week w

215 d sedentary behavior (such as spending hours watching television) in relation to the risk of cholecys

216 uch as dietary fat/oil intake, time spent on watching television, and time spent engaged in moderate

217 Time spent watching television, but not time sitting in front of a

218 d types of foods that children consume while watching television, compare those types with the types

219 Conversely, time spent watching television, doing chores, and playing electroni

220 Sedentary activities, such as watching television, may disrupt habituation to food cue

221 observed for overall sitting, sitting while watching television, or other sitting at home.

222 e, sex, sexual maturity, energy intake, time watching television, physical activity, mother's body ma

223 r week spent studying, reading for pleasure, watching television, playing video games or working on t

224 health risks associated with prolonged time watching television.

225 for increased energy intake associated with watching television.

226 d, children were asked whether they had been watching television.

227 and exercising, and less time spent alone or watching television.

228 is for four screen behaviors: time spent (1) watching television; (2) gaming; (3) sitting/lying down

229 es (reading books, newspapers, or magazines; watching television; and listening to music or the radio

230 style factors (10.01%), including time spent watching television; and physical measures (8.70%), incl

231 tending surgeon using the NOTSS system after watching ten 20-minute long videos obtained from live OR

232 ase their sport participation and television watching than those who continued to work over the 6-yea

233 rformance during the conversation task while watching the driving video.

234 participants continued to use the LS despite watching the DS video.

235 g fans, rather than being prompted simply by watching the game itself.

236 ed the escape of dye from single vesicles by watching the increase in fluorescence after exocytosis.

237 Crucially, before watching the last part of each activity, the second movi

238 the camp-fire telling tales of ancestors to watching the latest television box-set, humans are invet

239 significantly better compassion scores after watching the more optimistic video as compared with the

240 with some being randomly interviewed before watching the movie (control group).

241 The viewers were not reinforced for watching the movies, thus their looking patterns indicat

242 revealed at the RNAP active site which allow watching the nucleotide and metal bindings and the phosp

243 Repeatedly watching the same VR movie significantly reduced both th

244 ) domains of sexual desire and arousal after watching the sexual videos in the scanner.

245 By passively watching the shape fluctuations of a thermally driven bi

246 visual speech inputs.SIGNIFICANCE STATEMENT Watching the speaker can facilitate our understanding of

247 By watching the spectral shifts of optical modes from nanop

248 participants reported being very comfortable watching the video.

249 Participants reported feeling comfortable watching the video.

250 3%) in the intervention arm were comfortable watching the video.

251 Cardiac activity of the observers while watching the videos was then analyzed and compared to th

252 The immediate response to watching the VR movie was an increased level of postural

253 180 d for prostate or other cancers, and for watching (the absence of treatment claims for >/=60 d) a

254 Picture a predator watching their prey sprint and screech through a field.

255 n Cape Town with African climate scientists, watching them present results from sophisticated models

256 that men's audiences (i.e., who precisely is watching them) play a key role in shaping these outcomes

257 cal motion, and their viewing behaviour when watching these point-light displays can be explained ins

258 s of obesity based on different levels of TV watching time (0, <1.0, and >/=1.0 hour/day) were 1.00,

259 s ratio=0.76, 95% CI=0.67, 0.86), television watching time (odds ratio=1.09, 95% CI=1.05, 1.13), and

260 ted the association of physical activity, TV watching time, sleeping time with the risks of obesity a

261 ression increased with increasing television-watching time.

262 tract concepts was investigated during movie watching to address the extent to which brain responses

263 y fail to develop a similar preference after watching tokens paired with foods in the absence of a co

264 ll, Frydman and colleagues have succeeded in watching tubulin being folded by its chaperonin TRiC at

265 rn of high television viewing was defined as watching TV above the upper baseline quartile (>3 hours/

266 ly regarding skin contact, playing games and watching TV during occlusion.

267 Watching TV for 3 h or more per day was associated with

268 Each extra hour of watching TV was associated with an extra 1 kg of body fa

269 ates, including time spent in PA, time spent watching TV was associated with increased risk of incide

270 Time spent watching TV was positively associated with risk of obesi

271 ions: 1) control, 2) while reading, 3) while watching TV with food and nonfood ads (TV-ads), and 4) w

272 food and nonfood ads (TV-ads), and 4) while watching TV with no ads (TV-no ads).

273 .e., housework) to sedentary pastimes (e.g., watching TV) has important health consequences.

274 o skin contact and activities like games and watching TV.

275 supramarginal gyrus [rSMG]), in participants watching video clips of genuine vs. pretended facial exp

276 Watching video clips of someone scratching (relative to

277 cycling tasks (50% peak power output) while watching video footage of a rural cycling course that si

278 ipants self-reported greater involvement for watching video relative to listening to auditory scenes,

279 on of a new surgical practice was favored by watching videos (46%) as well as assisting live operatio

280 sing the internet (ES, 0.56; P < 0.001), and watching videos (ES, 0.56; P < 0.001).

281 eneral media uses such as posting online and watching videos and distinguish both positive (pro-socia

282 ould predict their choices to start and stop watching videos as well as whether group brain activity

283 , report feeling less negative emotion after watching videos depicting homelessness.

284 dren had three different instructions before watching videos including either no demands (No Task), l

285 Indeed, while watching videos of conspecifics, monkeys engage in eye c

286 the longitudinal effects of a passive task, watching videos.

287 Previous studies have shown that watching visual motion and listening to auditory motion

288 These findings and those for television watching warrant further investigation.

289 other covariates, each 2-h/d increment in TV watching was associated with a 23% (95% confidence inter

290 ; P trend = .002), and more postdiagnosis TV watching was associated with a nonsignificant 25% increa

291 Television watching was associated with an increased type 2 diabete

292 ed with all-cause mortality, whereas more TV watching was associated with increased mortality risk.

293 1993-1994, physical activity and television watching were assessed biennially from 1986 to 1994 by a

294 Data on physical activity and TV watching were collected 2 years before assessment of BMI

295 Studying and TV watching were not significantly different before myopia

296 conclusion, physical activity and television watching were significantly associated with several bioc

297 e levels, sedentary behaviors, especially TV watching, were associated with significantly elevated ri

298 of hierarchy in brain states including movie watching, where the hierarchy of the brain is flatter th

299 sion was found for replacement of television watching with 60 minutes/day of slow walking, whereas a

300 study indicated a positive association of TV watching with the risk of obesity, and an inverse associ