ライフサイエンスコーパス: train

1 memory when tested 24 hours after extinction training.

2 ecklists; community engagement; and provider training.

3 ophic forgetting of old knowledge during new training.

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

5 rrelated with the number of years of musical training.

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

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

8 nction memory following immediate extinction training.

9 bilities only recovered following deliberate training.

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

11 lleles, including some with limited data for training.

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

13 behaving mice following auditory associative training.

14 convergence problems and slowdown of on-chip training.

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

16 We trained 3-day-old chicks (Gallus gallus) on a given nume

17 motors "line up" in a tight assembly on the trains [3], provoking the question of how these motors c

18 0.957) and 0.926 (95% CI 0.843-1.000) in the training (50% of the dataset) and validation sets, respe

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

20 Our method, chi-CNN, uses this data to first train a convolutional neural network (CNN) to discrimina

21 Lesion locations were used to train a keypoint detection convolutional neural network

22 samples from moldy and no homes were used to train a machine learning-based model to classify the mol

23 ay Computed Tomography (CT) scan and used to train a Random Forest (RF) classifier.

24 We leverage this to train a simple and easily interpretable predictive model

25 period in a large regional health system, we trained a DNN with 1,169,662 12-lead resting ECGs obtain

26 We have trained a machine learning model to analyze the correlat

27 To further investigate this, we re-trained a model using only the present data with and wit

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

29 ded from the video and other data streams by trained analysts.

30 oral-spatial features of the 12-lead ECG, we train and test multiple classifiers on two independent p

31 The radiographs were used to train and test the DL classifiers.

32 Using this approach, we have robustly trained and characterized a CCS prediction model with hi

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

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

35 nological interventions preferring practical training and auditory interactive alerts.

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

37 0250), manually annotated and used for model training and evaluation.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

53 ns spaced 100 ms apart whereas pulses within trains are currently separated by 889 ns.

54 Aerobic exercise training (AT) improves endothelial function.

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

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

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

58 We trained BGnet to extract the background from images of v

59 ulate and spread the virus such as airports, trains, boats, and any public aggregation places.

60 The models were trained/built using Regional and were then validated/tes

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

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

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

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

65 GHG instrument was deployed on a light rail train car that continuously traverses the Salt Lake Vall

66 y experienced physiologists and confirmed by trained cardiologists.

67 Modern practice for training classification deepnets involves a terminal pha

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

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

70 Analysis powered by trained convolutional neural networks precisely identifi

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

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

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

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

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

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

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

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

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

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

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

82 addition to requiring prohibitive amounts of training data.

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

84 cts classes lacking tandem mass spectrometry training data.

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

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

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

88 Training decreased systolic and diastolic central (aorti

89 The resulting images were used to train deep neural networks for assessment of prostate bi

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

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

92 exploit this representation outperform those trained directly on epigenomic data on a variety of geno

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

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

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

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

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

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

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

100 by demonstrating better performance of those trained following FRS compared with controls on a transf

101 ctivations of convolutional layers of a DCNN trained for object and scene categorization with neural

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

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

104 Two masked, trained graders analyzed right-eye vitreoretinal finding

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

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

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

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

109 Biofeedback training has been used to access autonomically-controlle

110 jects, and its performance is on par with 10 trained human coders with a mean precision 0.918 and rec

111 Early life microbiome development trains immune function.

112 onse, respectively, which confers protective trained immunity against Mtb.

113 morning vaccination elicited both a stronger trained immunity and adaptive immune phenotype.

114 tion was measured to assess the induction of trained immunity and adaptive responses, respectively.

115 fumarate, the DeltahemB SCV failed to elicit trained immunity and protection from a secondary infecti

116 nfluence of vaccination time on induction of trained immunity was studied in an independent cohort of

117 Trained immunity, a functional state of myeloid cells, h

118 ildren and younger populations may result in trained immunity.

119 BCG administration time on the induction of trained immunity.METHODSEighteen volunteers were vaccina

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

121 In the present work, BINNs are trained in a supervised learning framework to approximat

122 Mice were trained in a two-alternative choice task, in which they

123 n the ventromedial prefrontal cortex of rats trained in contextual fear conditioning.

124 solidation of fear extinction memory of rats trained in contextual fear conditioning.

125 stics (ROC) were compared between the models trained in the centralized and distributed manner.

126 Male and female rats were trained in the risky decision-making task, followed by o

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

128 Training in and implementation of a motivational intervi

129 Initial interdisciplinary training in cardiac arrest prevention followed by clinic

130 Seventeen experts had subspecialty training in critical care.

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

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

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

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

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

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

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

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

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

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

141 esigned a probabilistic predictive model and trained it using Bayesian inference with the longitudina

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

143 Aspects of surgical training leave trainees especially vulnerable to harassi

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

145 To evaluate the behavioral consequences, we trained mice in nose-poking operant chambers that develo

146 del reliance indicates the extent to which a trained model relies on conceptually related groups of v

147 Finally, we fine-tuned and validated the pre-trained model using 33 preterm infants.

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

149 The trained models were then tested on Raman spectra from 2

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

151 ehavioral) that require the involvement of a trained multidisciplinary team [ideally physician, nurse

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

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

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

155 11 and December 2017 and who were split into training (n = 97) and test (n = 49) cohorts.

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

157 N parameter interpretation, we show that our trained network ("AI-TAC") does so by rediscovering ab i

158 Reformulating the exact function of a trained neural network as a collection of stimulus-depen

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

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

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

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

163 n a sentence, corresponding effectively to a train of puffs, create conical, jet-like flows.

164 ting algae from continuous illumination to a train of short (1 s) light pulses, interrupted by longer

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

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

167 However, trained officers showed an enhanced sense of agency and

168 ion, aligned with self-determination theory, trained older adolescent mentors and in-class peer-leade

169 Cellpose was trained on a new dataset of highly varied images of cell

170 e exclusively trained on VF data and another trained on both VF and clinical data, were tested.

171 in different forms of avoidance in rats well trained on different cued lever-press avoidance tasks.

172 A generic three-dimensional (3D) U-Net was trained on four different databases to generate four dif

173 dictive power, in part because they were not trained on high-quality epitope datasets covering a broa

174 fed mouse multi-omics features into a model trained on human data and found that the predicted enhan

175 based on a deep neural network (DNN) that is trained on images of pre-solved acoustic fields.

176 ols are based on machine learning algorithms trained on MHC binding or naturally processed MHC ligand

177 Predictive models trained on only the top four predictive features (CI, as

178 ompeting classification algorithms that were trained on our proprietary, large and expertly labeled d

179 Our generator networks are trained on partial scans created from a new dataset of 1

180 A second model is trained on remaining lifespan to generate the AFRAID (An

181 on and gradient boosting machine models were trained on the earliest 80% of hospital admissions and v

182 FullMeSH has been developed and empirically trained on the entire set of 1.4 million full-text artic

183 Trained on these extracted features only, a supervised c

184 Ferrets were trained on two auditory Go-NoGo categorization tasks to

185 Two machine learning models, one exclusively trained on VF data and another trained on both VF and cl

186 In contrast, few models trained on within- or between-network sFC and eFC perfor

187 orest and support vector machine models were trained on within-participant single-trial EEG data from

188 phic background than the one the scores were trained on.

189 Training on both genomes improves gene expression predic

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

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

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

193 spiral rainbands trigger longer lasting wave trains on the front side of the tropical cyclones.

194 valuate generality, we test our architecture trained only with mosquito images on bumblebee images.

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

196 l lines after chemical compound treatment to train our models combined with compound chemical structu

197 -based NER tools for concept recognition and trained our concept embeddings, BioConceptVec, via four

198 Sensory analysis conducted by a trained panel showed that for both wine types the high G

199 liable solution, whereas sensory analysis by trained panelists is expensive and time-consuming.

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

201 edback training could potentially be used to train participants to speed up movement initiation.

202 The training performance of all machine learning models, inc

203 carried out at remote sites and by minimally trained personnel, while quantification will take place

204 e that were reliably identified as benign by trained physicians making use of corresponding morpholog

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

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

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

208 They were willing to wait longer to see trained practitioners.

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

210 nducted represents an important variable for training prescription.

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

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

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

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

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

216 This training represents a paradigm shift compared with more

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

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

219 To address these questions, we trained rhesus monkeys to perform a novel decision-makin

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

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

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

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

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

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

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

227 900,000 scientific abstracts without a large training set of labeled annotations.

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

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

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

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

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

233 (99 of 105 masses; 95% CI: 88%, 98%) in the training set; 88% (14 of 16 masses; 95% CI: 64%, 97%) an

234 MBL database were extracted for creating the training sets.

235 L) delivers femtosecond (fs) X-ray pulses in trains spaced 100 ms apart whereas pulses within trains

236 iking interneurons (FSIs) in the striatum to train striatal projection neurons to gate relevant and s

237 this article aims to articulate the need to train students in computational and systems biology usin

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

239 and microarray datasets in order to develop, train, test, and validate a robust classifier to identif

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

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

242 Activation decreased more for trained than untrained sequences in premotor and parieta

243 atter, resist colonization by pathogens, and train the developing immune system.(1)(,)(2) However, hu

244 ataset, and the remaining cases were used to train the model with a 75%-25% training-validation split

245 one-out cross-validation to select features, train the model, and estimate model performance.

246 ddition, they often employ basic features to train the models in a simple and coarse-grained manner.

247 We train the prediction model in the training set, estimate

248 We trained the convolutional neural network to segment six

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

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

251 roups with shSOM or shCtrl(SOM) into CeL and trained them to lever press for methamphetamine infusion

252 shPKCdelta or shCtrl(PKCdelta) into CeL and trained them to lever press for social interaction (6 d)

253 to handle, and many chemists have managed to train themselves in its implementation.

254 A convolutional neural network was trained to automatically grade conventional radiographs

255 dV-Trainer (n = 30), and DVSS (n = 32) that trained to benchmarks and control (n = 32) that trained

256 An AI system can be trained to detect and grade cancer in prostate needle bi

257 d sham-operated controls (SHAM, n = 16) were trained to discriminate a tastant from water in an opera

258 An additional model was trained to distinguish between non-TEs and TEs in plants

259 -world clinical setting, and clinicians were trained to effectively read fluorescent margins with a s

260 mensional convolutional neural networks were trained to estimate global visual field indices derived

261 Here, male rats were trained to exert effort for a high-value reward (sucrose

262 Bumblebees trained to fly in a tunnel were sporadically presented w

263 Awake, head-restrained mice were trained to lick different tastants (sucrose, salt, citri

264 original measurements, and (ii) an adversary trained to predict the confounder from that embedding.

265 Machine learning algorithms trained to predict the regulatory activity of nucleic ac

266 ocks categorized according to what they were trained to predict: chronological age, mortality, mitoti

267 Neural networks were trained to segment organs in PET/CT acquisitions (traini

268 Using adult male Sprague-Dawley rats trained to self-administer intravenous cocaine, we did t

269 Integrated eye care workers, previously trained to undertake trachoma screening for one month, p

270 Deep learning models were trained to use SD OCT retinal nerve fiber layer (RNFL) t

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

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

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

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

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

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

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

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

279 The model was trained using clinically diagnosed Alzheimer's disease a

280 ction Convolutional Neural Network model was trained using computed tomography images of IPNs from th

281 re showing promise, the models are typically trained using features derived from comprehensive sets o

282 atch-based, multiresolution pathway CNNs was trained using fivefold cross-validation.

283 ined to benchmarks and control (n = 32) that trained using locally available robotic skills curricula

284 A logistic regression model trained using samples collected during the pandemic and

285 22 and 23 lipid classes, respectively, were trained using the large experimental data set, which ena

286 study, a deep neural network, CV19-Net, was trained, validated, and tested on chest radiographs in p

287 %, 20%, and 10% of examinations allocated to training, validation, and test sets, respectively.

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

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

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

291 is challenging since many clinicians did not train where CM is frequent, resulting in significant ine

292 Here, we trained wild-type, D1-Cre, A2A-Cre, or vGluT2-Cre:Ai9 ma

293 , register for a mixed team next season, and train with Muslims 6 months after the intervention.

294 The deep CNN trained with 1000 samples or more per cluster has an acc

295 Models trained with all features outperform those using only si

296 1, a shared convolutional features extractor trained with multitask loss function.

297 tically significantly better than the models trained with single-task learning for predicting patient

298 A network trained with volumes of serotonergic axons in all major

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

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