ライフサイエンスコーパス: training

1 memory when tested 24 hours after extinction training.

2 nction memory following immediate extinction training.

3 bilities only recovered following deliberate training.

4 lleles, including some with limited data for training.

5 ined sub-compartments are used as labels for training.

6 s served to build a set of images for reader training.

7 activity similar to the effects of exercise training.

8 with four scanning sessions over 5 weeks of training.

9 stic were compared before, during, and after training.

10 2) for the remaining subjects after remedial training.

11 normalities tend to recur with resumption of training.

12 maintains the maximum sequence diversity for training.

13 can be cultivated through intentional mental training.

14 alogue switching for efficient inference and training.

15 ers from working to the full extent of their training.

16 behaving mice following auditory associative training.

17 convergence problems and slowdown of on-chip training.

18 ecklists; community engagement; and provider training.

19 ophic forgetting of old knowledge during new training.

20 o had undergone similar formal SB-VCE review training.

21 rrelated with the number of years of musical training.

22 nomy results in expertise gaps at the end of training.

23 (VPL) is enhanced by reward provided during training.

24 After a 2-week lead-in period of cognitive training, 100 participants were randomly assigned to rec

25 For training, 4800 zero-filled images and the corresponding

26 0.957) and 0.926 (95% CI 0.843-1.000) in the training (50% of the dataset) and validation sets, respe

27 ses were separated into five combinations of training (80%) and test (20%) sets, and fivefold cross-v

28 ion sets, respectively, to 0.936 in both the training (95% CI 0.903-0.969) and the validation (95% CI

29 As a result, we obtained 88% training accuracy and 87% test accuracy.

30 However, training accurate, widely deployable deep learning algor

31 rtphone-based VIA that included standard VIA training, adapted refresher, and 6-month mHealth mentors

32 ne of studies has shown that sleep following training also plays a role in facilitating VPL, an effec

33 Training an ensemble of convolutional neural networks jo

34 k training paradigms used 80% of samples for training and 20% for validation.

35 We divided the sample into a training and a testing set and used machine-learning alg

36 uron DAN-i1 can both establish memory during training and acutely terminate learned search behavior i

37 This plasticity is observed 48 h after training and alters synaptically evoked spike firing and

38 skills can be cultivated through scaffolded training and are a promising target for therapeutic and

39 nological interventions preferring practical training and auditory interactive alerts.

40 Berlin and Queensland cohorts formed a training and cross-validation dataset used to identify s

41 rther suggest that the DAN-i1 signals during training and during the recall test could be delivered t

42 ality improvement, research and scholarship, training and education, and professional development.

43 ricting international travel, suspending all training and educational activities from kindergartens t

44 0250), manually annotated and used for model training and evaluation.

45 criteria for gender-affirming treatment, has training and experience in assessing psychopathology, an

46 is study examines the feasibility of rapidly training and fit testing health care workers to use elas

47 sion-making support with virtual examination training and home-based patient diagnostics.

48 -network from delivering the same high-level training and inference accuracies as those delivered by

49 e objectives and to provide optimal exercise training and nutritional support for the modern warfight

50 f RRI correlations in running across various training and racing events under real-world conditions.

51 stronaut use of touchscreen platforms during training and space flight and given the ability of roden

52 Nurses' enthusiasm for training and technology to prevent drowsy driving sugges

53 (>= 20% total body surface area) to generate training and test datasets for ML applications.

54 sentative dataset along with the scripts for training and testing deep learning methods.

55 ng is processed by dividing the dataset into training and testing sets and the paper uses the followi

56 al of culture change for biomedical research training and training that prepares individuals for a br

57 ressive disorder.The cnCV method has similar training and validation accuracy to nCV, but cnCV has mu

58 The cohort was divided into training and validation data sets.

59 stic curves of at least 0.84 and 0.72 in the training and validation sets, respectively.

60 This dataset was split into 'training' and 'testing' samples (training: n = 1047; tes

61 influence of this added activity on time in training, and (c) ability of the institutions to sustain

62 livery, cultivate educational tools for team training, and embrace technologies (e.g., telemedicine)

63 were features for the LV pressure and volume training, and passive material properties and element ce

64 rates, organizational factors, education and training, and personal factors, and lastly, (C) cognitiv

65 d failure-related neurons, that develop with training, and report end results of trials.

66 systems, cognition and behavior necessitate training animals to perform complex tasks.

67 Still, other important benefits of exercise training appeared in women with PCOS, including an impro

68 t-EVAR patients using a novel data efficient training approach.

69 d downgradient areas of a former firefighter training area.

70 Structuring clinical practice and training around single conditions may disadvantage child

71 r mentoring using PRONTO simulation and team training as well as quality improvement collaboratives.

72 tening to music; or (5) prolonged periods of training at a specific time of day.

73 Aerobic exercise training (AT) improves endothelial function.

74 and 23,566 exemplars per class were used for training, based on specimen availability, from a minimum

75 results suggest that reward provided during training becomes effective during sleep, with excited re

76 adership behaviors while controlling for pre-training behaviors, Injury Severity Score, postgraduate

77 term memory function, hippocampal volume and training benefit across the human lifespan.

78 otor synergies change during development and training by studying the synergies for running in presch

79 oved feature design in DeepMSA and optimized training by the residual neural networks.

80 ontrolled study suggested that neurofeedback training can facilitate volitional suppression of beta b

81 uppressing beta bursts through neurofeedback training can improve motor performance in healthy subjec

82 Modern practice for training classification deepnets involves a terminal pha

83 stress tolerance, such as Compassionate Mind Training (CMT), are less well known.

84 und that meditation interventions, cognitive training, cognitive rehabilitation, and exercise were th

85 ative event-level detection of SSIs using an training cohort (4574 operative events) from 1 healthcar

86 patients from one center were grouped into a training cohort (n = 100) and an internal validation coh

87 With a training cohort (n = 40) and a blinded validation cohort

88 utions and sharing best practices across the training community.

89 Training consisted of wind consistently preceding light

90 ent Subtask in collaboration with the ELIXIR Training Coordinators Group, has implemented an assessme

91 nt initiation and suggest that neurofeedback training could potentially be used to train participants

92 ed to segment organs in PET/CT acquisitions (training CTs: 8,632, validation CTs: 53).

93 After training, cuttlefish performed the task with another ite

94 racy close to the expected level of noise in training data (LogS +/- 0.7).

95 gly, primarily because of the lack of enough training data and computational power.

96 sparse representations to reduce the need of training data and improve performance.

97 ensitivity with and without patient-specific training data and percentage of increased mean-squared e

98 cted from simulators and used to augment the training data for these surrogate models.

99 ings of the same dimension even when limited training data is available, and might allow for a reduct

100 g cross-sectional medical imaging tasks when training data is limited.

101 ated un-supervised clustering for generating training data provides an effective approach to pick par

102 ctive or descriptive models by learning from training data rather than by being rigidly programmed.

103 ta-DFT ) significantly reduces the amount of training data required, particularly when molecular symm

104 One training data set and an independent test set were colle

105 rated from ChEMBL; subvalidations using this training data set correctly predicted 58% of inhibitors

106 able to locate brain tumors on the basis of training data that were labeled automatically from simul

107 five-fold cross-validation statistics of the training data.

108 ; the remainder were used as domain-specific training data.

109 cts classes lacking tandem mass spectrometry training data.

110 addition to requiring prohibitive amounts of training data.

111 deled by finite element analysis to create a training database.

112 Here, we report a strategy for building a training dataset (D-COID) that aims to generate highly c

113 Patient samples in the training dataset were split into a training set (n=290)

114 ualitatively different configurations to our training dataset.

115 lassical approaches, especially, when bigger training datasets are available.

116 enabling the acquisition of reasonably large training datasets that hold the key for label-free singl

117 posing strategies-such as using more diverse training datasets that include African American Vernacul

118 er structure-annotated or disorder-annotated training datasets, potentially creating a dichotomy wher

119 (WME) and reference memory errors (RME) per training day were recorded.

120 Training decreased systolic and diastolic central (aorti

121 nterval-based timing by addressing how motor training develops accurate spatiotemporal patterns in be

122 mulus features were found in naive mice, and training did not generate neurons with enhanced temporal

123 emory consolidation, but flies starved after training did not require sleep to form memories.

124 d autophagy and skeletal muscle adaptions to training during high-fat diet.

125 This technique is implemented by first training each individual CNN, and then combining its out

126 Biofeedback training effectively reduced the lag by >=0.3D in indivi

127 ects models were used to test for length and training effects and differences between tasks within th

128 Reward provided during training enhanced rapid eye movement (REM) sleep time, i

129 tors have recommended changes to improve the training environments for graduate students and postdoct

130 ining (TPT), which begins at the epoch where training error first vanishes.

131 Further work should focus on education and training, especially for elements requiring cross-depart

132 response behavior by physically experiencing training examples and then, crucially, respond correctly

133 ly a consequence of changes in education and training facilities related to digitization.

134 PRE training, five measures (sway, acceleration, co-contract

135 ioxetine or placebo in addition to cognitive training for 26 weeks.

136 ositivity threshold determination and reader training for reliable LFA deployment.

137 ferent deep learning approaches were tested: training from random initialization and transfer learnin

138 positivity of 16% (436/2,637) after standard training gradually increased to 25.1% (293/1,168), dropp

139 With 314 subjects in the training group and 105 in the validation group, exosomal

140 ations within residents and to test for post-training group differences in leadership behaviors while

141 articipants were then randomly assigned to 4 training groups: Dome (n = 29), dV-Trainer (n = 30), and

142 Without training, haptic sound-localisation was substantially be

143 Biofeedback training has been used to access autonomically-controlle

144 not restored following 12-weeks of exercise training implying exercise resistance in this cohort.

145 Sparsified training improved performance (adjusted P < .05), even w

146 tissues that when repeated regularly (i.e., training) improves physiological capacity, benefits nume

147 rtant central motor pathways during strength training in 2 female macaque monkeys.

148 MOD) and low-volume (1 set, LOW) resistance training in a contralateral fashion for 12 weeks (2-3 se

149 R 23.7, 95% CI 10.9-51.5; p < 0.001), as was training in a surgical program (adjusted OR 3.7, 95% CI

150 Training in and implementation of a motivational intervi

151 Initial interdisciplinary training in cardiac arrest prevention followed by clinic

152 Seventeen experts had subspecialty training in critical care.

153 with cryo-electron microscopy who get basic training in dual-beam microscopy can complete the protoc

154 light the potential benefit of neurofeedback training in facilitating voluntary suppression of beta b

155 gramme of Research, Development and Research Training in Human Reproduction (HRP), and The Bill & Mel

156 eling sessions with a glaucoma coach who had training in motivational interviewing (MI), and (3) 5 ph

157 rpinned by policies that include appropriate training in research methods and properly aligned incent

158 ers with domain expertise but without formal training in software engineering or computer science.

159 been made in this regard through extinction training in which the aversive outcome is omitted.

160 dy metabolic adaptations to aerobic exercise training, in part, by allowing controlled substrate util

161 al Abstract), this brief review examines the training-induced plasticity of key elements in the O(2)

162 CIM6P/IGF2R controls the training-induced upregulation of de novo protein synthes

163 In CON, the training intervention increased whole-body insulin actio

164 Paradoxically, when extinction training is performed immediately following fear acquisi

165 core, the goal of graduate and postdoctoral training is to provide individuals with the skills and k

166 onal (k = 4); peer-led (k = 5); breathing re-training (k = 1).

167 There was a significant difference in post-training leadership behaviors between the intervention a

168 Aspects of surgical training leave trainees especially vulnerable to harassi

169 the observations were randomly selected for training, leaving 30% for testing.

170 Ophthalmologists across training levels were able to identify diabetic NV with e

171 We used 120 LV-only FE models for training LV stress predictions.

172 tration to the prefrontal cortex during task training may be an effective way to enhance behavioral p

173 Sparsified training may boost the performance of a smaller model ba

174 fferences were found between the alternative training methods (right eye, P = 0.19; left eye, P = 0.1

175 d steatosis risk; 3) the effects of exercise training (modalities, volume, intensity) for treatment o

176 The provider training model moved from a graduated autonomy model wit

177 Training models include nested leave-one-out cross-valid

178 istributed learning is a technique, enabling training models on multicenter data without data leaving

179 ersive olfactory LTM is optimal after spaced training, multiple trials of differential odor condition

180 ctromyogram recordings indicated that during training, muscle activation was poor.

181 opulation (n = 1425) was randomly split into training (n = 1070) and validation (n = 355) cohorts.

182 S (n = 14), monolateral PS (n = 13) or no PS training (n = 12).

183 Five hundred seven PLWH were divided into a training (n = 318) and a validation set (n = 189).

184 11 and December 2017 and who were split into training (n = 97) and test (n = 49) cohorts.

185 The image datasets were split into training (n=17 340), validation (n=3491), and testing (n

186 split into 'training' and 'testing' samples (training: n = 1047; testing: n = 350).

187 At test, infants saw each training object again, presented in silence along with a

188 , postgraduate training year, and days since training occurred.

189 ple the responses of the interneurons to the training odorants to generate learned olfactory behavior

190 induces a repulsive sensory response to the training odorants, which together decouple the responses

191 e is a bio-inspired instrument capable after training of discriminating a wide variety of analytes.

192 The intervention consisted of 4 key actions: training of health care professionals on nutritional rec

193 Training of one limb improves performance of the contral

194 potentially informative for the professional training of radiologists.

195 This paper advocates for the training of surrogates that are 1) consistent with the p

196 However, it remains unknown whether training of the upper limb can induce the cross-transfer

197 We describe the efficient training of these networks using the fidelity as a cost

198 By training on a dataset composed of thousands of micrograp

199 Training on both genomes improves gene expression predic

200 he effects of physical activity and exercise training on coronary atherosclerosis in athletes who are

201 hat all members of the health care team need training on how to integrate key epidemiologic informati

202 olutional architecture is that it allows for training on small domains and evaluation on arbitrarily-

203 inical impact of simulation-based leadership training on team leadership and patient care during actu

204 rse effects of the highest doses of exercise training on the coronary arteries.

205 en includes continuous operations whether in training or deployed environments.

206 ensity interval aerobic fitness and strength training paired with a novel nutritional supplement [com

207 ensity interval aerobic fitness and strength training paired with a standard of care placebo beverage

208 Network training paradigms used 80% of samples for training and

209 We also demonstrate that the same model training parameters can generalize to two dramatically d

210 oss three phases of a training study: during training, participants repeatedly drew two objects in an

211 The training performance of all machine learning models, inc

212 During the pre-training phase of model construction, an autoencoder net

213 raining programmes across Europe, the ELIXIR Training Platform, led by the ELIXIR EXCELERATE Quality

214 to measure quality and impact of its entire training portfolio.

215 The reduced RTs induced by neurofeedback training positively correlated with reduced beta bursts

216 Investing in young people's education and training potential could reduce health and social inequa

217 n be used to guide omics data collection for training predictive models, making evidence-driven decis

218 nducted represents an important variable for training prescription.

219 After a training process, the deep neural network can take image

220 ned and recommendations for technical skills training, proctoring, and performance assessment were de

221 Importantly, weightlifting training profound improved whole-body glucose clearance

222 ed approach for strengthening bioinformatics training programmes across Europe, the ELIXIR Training P

223 Brain training programs are currently one effective solution t

224 To achieve these goals, funding agencies and training programs must support a new generation of scien

225 patterns of in-vitro networks by introducing training regimens with respect to stages of neural devel

226 This training represents a paradigm shift compared with more

227 As a result, there is a concurrent need for training researchers to use and understand new computati

228 These results highlight the importance of training residents in performing MIGS procedures and man

229 evidence also suggests that a period of post-training rest (eg, quiet wakefulness with eyes closed) p

230 The automation of the n-back task through training resulted in non-linear changes in integration b

231 Long-term (8 weeks) voluntary weightlifting training resulted in significantly increases of muscle m

232 Leadership training resulted in the transfer of complex skills to t

233 ropose a new spectral framework for reliable training, scalable inference and interpretable explanati

234 anner without the use of any labeled data or training sequences.

235 etazolamide immediately after the extinction training session modulated c-Fos expression on a retenti

236 o (n = 31) prior to each of twenty cognitive training sessions administered during a four-week period

237 Over a period of repeated training sessions, mice received either paired trials of

238 We split the cohort data into a training set (80%), validation set (10%), and test set (

239 es in the training dataset were split into a training set (n=290) and a testing set (n=145), balancin

240 ast one AF billing code from 2010 to 2017: a training set (n=886), an internal validation set from si

241 ance is in part due to incompleteness of the training set across all potential taxonomic categories,

242 here was an overall accuracy of 92.6% in the training set and 78.5% in the validation set.

243 e similar to those in the test sets from the training set has a significant effect on scoring functio

244 900,000 scientific abstracts without a large training set of labeled annotations.

245 eveloped a framework to identify the minimal training set required to build a predictive model on a p

246 The training set was further stratified into 100 iterations

247 The training set was used to develop a detection algorithm c

248 he two-tiered testing (82.4% vs 70.6% in the training set, 66.7% vs 60.0% in the validation set, resp

249 We train the prediction model in the training set, estimate the relationship between the obse

250 generalize to smORF families not seen in the training set, resulting in predictions enriched for Ribo

251 27, 29, and 8) were pooled to constitute the training set, whereas the patients from a fourth center

252 d against a set of molecules not used in the training set.

253 (99 of 105 masses; 95% CI: 88%, 98%) in the training set; 88% (14 of 16 masses; 95% CI: 64%, 97%) an

254 Supplemental training sets contained 199-568 CT images depending on t

255 w that homology between Ssym and widely used training sets like S2648 and VariBench has likely led to

256 MBL database were extracted for creating the training sets.

257 Testing after training showed a persistent bias in attention in the ex

258 , those who resumed similarly heavy physical training showed reappearance of the repolarization abnor

259 ponded to questions about gender, fellowship training, state of practice, and salary were included.

260 analyses reveal the shortcomings of current training strategies and highlight the need for developin

261 11 male) using fMRI across three phases of a training study: during training, participants repeatedly

262 ack of an explicit complexity control during training, such as an explicit regularization term.

263 ng framework where the data are divided into training, testing, and validation sets.

264 Using a training-testing approach, epigenome-wide CpGs associate

265 change for biomedical research training and training that prepares individuals for a broader expanse

266 The hypothesis is that training the algorithm to learn the morphological differ

267 address the imbalanced learning problem when training the deep neural network.

268 ures extracted from raw images were used for training, the validation area under the curve significan

269 have the potential to address this issue but training them requires data from a large number of patie

270 on an MR-compatible tablet; before and after training, they viewed these and two other control object

271 art deep learning models that use end-to-end training to automatically extract informative features f

272 Hepatology providers report lack of training to deliver PC along with no clear prognostic cr

273 arify whether interventions such as exercise training to improve LV compliance may prevent the full m

274 le rhesus macaque monkeys received extensive training to learn novel visuospatial discriminations (re

275 be taken in the early stages of postdoctoral training to prevent this attrition of underrepresented g

276 as individuals advance in their careers from training to senior leadership positions.

277 ies to design efficient and motivating sport training tools.

278 cation deepnets involves a terminal phase of training (TPT), which begins at the epoch where training

279 Domain-specific cognitive training treatments for pediatric anxiety disorders rely

280 ssed immediate early gene mRNA by a repeated training trial may therefore serve as a "filter" for lea

281 are also packaged with the pipeline for user training tutorials and developer work.

282 that reactivates during the quiet periods of training undergoes structural plasticity.

283 Here we show that aerobic exercise training up-regulates DICER in adipose tissue of mice an

284 %, 20%, and 10% of examinations allocated to training, validation, and test sets, respectively.

285 = 437) by using split-sample validation into training, validation, and testing sets, respectively.

286 were used to train the model with a 75%-25% training-validation split and fourfold cross-validation.

287 R practices and review of the manufacturer's training video revealed sterility breaches in contrast p

288 Testing before and after training was identical, consisting of Humphrey visual fi

289 After just 30 min of training, we found this "electro-haptic" stimulation sub

290 lanning and delivery, as well as in surgical training, what has occurred in recent history.

291 large variations during non-pharmacological training, which might provide distinct biomarkers for fi

292 at incorporates aerobic fitness and strength training with a novel nutritional supplement to enhance

293 Training with digitized film-based and fully digitized M

294 dividuals performed contralateral resistance training with moderate and low volume for 12 weeks.

295 f opposite valence after paired and unpaired training with odor, and its activation during the recall

296 ailed to find a difference between treatment training within the deficit field and control training w

297 raining within the deficit field and control training within the sighted field when performed in a ho

298 t autonomy within the safety net of surgical training without negatively impacting clinical outcomes.

299 s demonstrated a preference for an in-person training workshop, though further investigation is neede

300 haviors, Injury Severity Score, postgraduate training year, and days since training occurred.