ライフサイエンスコーパス: multitask

1 sion of labor) of DC subsets and plasticity (multitasking).

2 ocessing that severely limits our ability to multitask.

3 allowing an analogue mechanical computer to multitask.

4 odel architecture for synergistic multimodal multitasking.

5 when screen time was interactive or involved multitasking.

6 bly by contouring U1-70K for protein-protein multitasking.

7 shift in processing strategy (P < 0.001) in multitasking.

8 tem functionally changes to support improved multitasking.

9 s(13-15) and as a function of everyday media multitasking(16-19)-negatively correlate with rememberin

10 These results demonstrate that media multitasking, a rapidly growing societal trend, is assoc

11 elf-reported impaired attention, memory, and multitasking abilities (31/31), word-finding difficultie

12 nt study was to assess school-age children's multitasking abilities during degraded speech recognitio

13 e flexibility of DNA architectures and their multitasking ability in biosensing.

14 ed an established cognitive control measure, multitasking ability, with structural brain imaging in a

15 tational and visual tilts and a reduction in multitasking ability.

16 ts confirmed that both reagents are uniquely multitasking - active and synergistic - across all react

17 ated that Grubbs-type catalysts possess such multitask activity, catalyzing the transvinylation react

18 I-ready data set, the study team developed a multitask AI model capable of real-time understanding of

19 create the AI-ready data set used to train a multitask AI model for 2 proof-of-concept studies, one g

20 The multitask AI model was trained on the AI-ready video dat

21 of RD29A activity then facilitates cellular multitasking, allowing plants to concomitantly run "grow

22 Beyond diminished visual attention, multitasking also slows reaction times to detected event

23 This suggests that apPol can multitask and catalyse both replicative and lesion bypas

24 ive pharmacology, such as the application of multitask and transfer learning, as well as the use of b

25 ramework for the experimental study of human multitask and transfer learning.

26 However, although multitasking and dual-tasking are widely present in ever

27 We show that multitasking and fluid intelligence are separable cognit

28 the amount of neural resources deployed for multitasking and information integration for constructin

29 ng and memory performance, and between media multitasking and memory.

30 here was no evidence of a difference between multitasking and MOLLI extracellular volume (ECV) values

31 tion and improved workflow while maintaining multitasking and rapid patient result turnaround.

32 well as media-nonmedia and nonmedia-nonmedia multitasking and sole-tasking.

33 ponent (single) tasks and their combination (multitask) and not for the control group.

34 : 2, 39]), indicating a reduced capacity for multitasking, and PM(2.5) was associated with increased

35 33 protein, previously called rSp0032, shows multitasking antipathogen binding ability, suggesting th

36 In supervised prediction applications, our multitask approach leverages similarities in response pr

37 It is worth noting that our approach is a multitask approach that predicts three outputs including

38 se a novel, biologically motivated, Bayesian multitask approach, which explicitly models gene-centric

39 We evaluate transfer-like and multitask approaches to regularizing the high-dimensiona

40 for modular computation through the study of multitasking artificial recurrent neural networks.

41 runs an operating system that is capable of multitasking: as a demonstration, we perform counting an

42 can be used for many real-time multivehicle, multitask assignment problems.

43 Inflammatory cells multitask at the wound site by facilitating wound debrid

44 lves additional cognitive processes, such as multitasking, attention, and conflict monitoring.

45 k metrics reflect the ability of trainees to multitask (automaticity) and may improve performance ass

46 The mpDYCI technique builds on an MR Multitasking-based dynamic T1 and T2* mapping method and

47 equirement, humans are thought to be poor at multitasking because of the processing limitations of fr

48 Therefore, the FP-SC system supports multitasking behavior by segregating constituent task re

49 temporal correlations are a signature of a 'multitasking' behavior of network agents, characterized

50 It is clear that multitasking behaviour has become ubiquitous in today's

51 ror rates in trivial and complex blocks, two multitask bidirectional Long short-term memory (LSTM) ne

52 undergo structural transformation to enable multitasking binding activity toward a wide range of tar

53 straint on the architecture and operation of multitasking biological networks.

54 Men may not be able to multitask, but it is emerging that proteins can.

55 Cellular networks multitask by exhibiting distinct, context-dependent dyna

56 Multitasking can also induce inattentional blindness, ca

57 n and cell cycle regulation, emphasizing the multitasking capabilities of this factor.

58 y functionalities may provide precisely such multitasking capabilities.

59 Finally, we explored the multitasking capability of VehiclePaliGemma model to acc

60 often err and must pay extra costs for their multitasking capacity.

61 A light-driven multitasking catalyst enhances chirality in molecular mi

62 The multitasking central pattern generator (CPG) that drives

63 e network analysis using graph diffusion and multitask clustering of FMR1 CLIP-seq and transcriptiona

64 entations across the human cortex to support multitask cognition.

65 ternalizing and internalizing symptoms using multitask connectomes.

66 Keywords: Cardiac MRI, Cardiac MRI Multitasking, Continuous-Acquisition Cardiac MRI, All-in

67 A previously developed hybrid multitask convolutional neural network for MNV detection

68 Such multitasking costs are thought to largely reflect capaci

69 e, older adults (60 to 85 years old) reduced multitasking costs compared to both an active control gr

70 The debate on the neural basis of multitasking costs evolves around neural overlap between

71 ased crosstalk was suggested as a source for multitasking costs in multisensory settings.

72 Yet, typical parameters indicating specific multitasking costs were not affected.

73 , extensive training can greatly reduce such multitasking costs.

74 After curating a multimodal multitask dataset of 49 clinical data types, 163,725 che

75 A multitask deep convolutional neural network was trained

76 We develop RiboNN, a state-of-the-art multitask deep convolutional neural network, and classic

77 To evaluate the impact of a fully automated, multitask deep learning (DL) algorithm on interreader ag

78 Purpose To develop a multitask deep learning (DL) model for simultaneous boun

79 , we successfully developed an interpretable multitask deep learning (MTDL) model by employing a tens

80 We present a multitask deep learning approach for emulating and calib

81 individual GA area and growth rates using a multitask deep learning approach.

82 Purpose To develop and evaluate a novel multitask deep learning framework for automated detectio

83 Conclusion The developed multitask deep learning model allowed for accurate and s

84 Purpose To develop a multitask deep learning model for grading radiographic h

85 Conclusion A multitask deep learning model is a feasible approach to

86 Background A multitask deep learning model might be useful in large e

87 e developed CTPredict, the first multimodal, multitask deep learning model that simultaneously predic

88 y (LDM) Injury Index (the model) comprised a multitask deep learning model trained, developed, and in

89 re extracted and used to train a multi-input multitask deep learning model, featuring a long short-te

90 Three multitask deep learning models-FAF-only, OCT-only, and m

91 The developed bubble annotation tool used a multitask deep learning network that integrates U-Net an

92 automate echocardiogram interpretation with multitask deep learning.

93 rence in results between assessment with the multitask design and that with the traditional block des

94 with similar results; therefore, use of the multitask design is feasible in a clinical setting.

95 Finally, the multitask design was tested in a patient undergoing preo

96 d substantial evidence has accrued regarding multitasking difficulties and cognitive control deficits

97 Multitask dimensionality exhibited compression then expa

98 The multitask DL model achieved 80.2% (89 of 111; 95% CI: 72

99 Conserved, multitasking DNA helicases mediate diverse DNA transacti

100 es to the magnitude of dual-task costs while multitasking during degraded speech recognition.

101 Primary care physicians (PCPs) report multitasking during workdays while processing electronic

102 How can stable multitasking emerge despite this flawed decision-making?

103 We developed 3DRECON-QT using a multitask encoder-decoder that ingests a 10-s single-lea

104 assembly and assign another function to this multitask enzyme but also provide useful insights into a

105 difficulties with attention, concentration, multitasking, executive function, and memory.

106 Here we propose a medical multimodal-multitask foundation model (M3FM) for three-dimensional

107 Several multitasking functions of the S1R are underwritten by ch

108 to simultaneously accomplish multiple goals (multitasking), generating interference as the result of

109 features that underpin the function of these multitasking immune cells.

110 t in sustained attention and preservation of multitasking improvement 6 months later.

111 alyses (MVPA) revealed that training induced multitasking improvements were predicted by divergence i

112 lap in fronto-parietal brain regions predict multitasking improvements.

113 e deeply embraced information technology and multitasking in their personal lives, school and the wor

114 their functional complexity through protein multitasking, in which many genes adopt new roles to cou

115 A trait media multitasking index was developed to identify groups of h

116 Here, we show that the reduction of multitasking interference with training is not achieved

117 Our ability to multitask is severely limited: task performance deterior

118 Heavier media multitasking is associated with a propensity to have att

119 Though multitasking is pervasive, it is not clear where tension

120 Chronic media multitasking is quickly becoming ubiquitous, although pr

121 edMCQA(4), PubMedQA(5) and Measuring Massive Multitask Language Understanding (MMLU) clinical topics(

122 These results suggest that multitasking leads to more significant working memory di

123 Furthermore, we developed a multitask learning (MTL) approach for predicting spectra

124 The enhanced accuracy and multitask learning ability of CelloType facilitate autom

125 drug response data sets to demonstrate that multitask learning across drugs strongly improves the ac

126 To circumvent this issue, we employ a deep multitask learning algorithm that integrates deep neural

127 We then adapted multitask learning algorithms and multiple output regres

128 etworks from scRNAseq data that incorporates multitask learning and constructed a global gene regulat

129 These results demonstrate the benefits of multitask learning and highlight CTPredict's potential t

130 ion and model ensembles, and introduce a new multitask learning approach for joint network inference

131 Natural Language Processing concepts), and a multitask learning approach that maps the polyBERT finge

132 A multitask learning approach was used for model developme

133 binding sites can potentially benefit from a multitask learning approach; however, existing methods t

134 Balancing regression and classification by multitask learning delivered optimal results.

135 ity prediction against a panel of drugs in a multitask learning framework by formulating a novel Baye

136 Here, we propose NetTIME, a multitask learning framework for predicting cell-type-sp

137 nst a panel of drugs simultaneously within a multitask learning framework improves overall predictive

138 r best knowledge, this is the first Bayesian multitask learning method for ordinal responses.

139 In this study, we propose a two-phase multitask learning method that can recognize the presenc

140 article, we propose a new sparse multimodal multitask learning method to reveal complex relationship

141 In this article, we propose a new joint multitask learning method, named MT-SCCALR, which absorb

142 Its unique multitask learning paradigm built within the model enabl

143 ubgroups by using contextualized learning, a multitask learning paradigm that uses multiview contexts

144 m from a machine learning angle: as either a multitask learning problem or a multiple output regressi

145 Multitask learning provides a promising solution by leve

146 approach is critical for the success of the multitask learning strategy and allows our model to make

147 We show that the multitask learning strategy for TF binding prediction is

148 llowed by classification, CelloType adopts a multitask learning strategy that integrates these tasks,

149 The multitask learning technique we develop uses a task-base

150 developmental stage, or time point, and uses multitask learning to capture network dynamics across li

151 AI, where a single algorithm is trained with multitask learning to classify and detect multiple abnor

152 urthermore, SeqGL can be naturally used with multitask learning to identify genomic and cell-type con

153 Moreover, we take advantage of multitask learning to improve the generalization of neur

154 red sparsity regularizations into multimodal multitask learning to integrate multidimensional heterog

155 We are also the first to apply multitask learning to medicine recommendation.

156 BELA uses multitask learning to predict quality scores that are th

157 It is based on multitask learning to predict review ratings of several

158 ssociated with multiple traits (Yu et al. in Multitask learning using task clustering with applicatio

159 on a formalism from machine learning called 'multitask learning', which considers the problem of buil

160 arning algorithms, including decision trees, multitask learning, and deep neural networks.

161 to, and synergistic with, transfer learning, multitask learning, and stacking.

162 Through multitask learning, it can predict binding sites on prot

163 Using multitask learning, we propose a method to directly test

164 in a computationally efficient framework for multitask learning.

165 LCS tasks through large-scale multimodal and multitask learning.

166 calization (regression) of endoleaks through multitask learning.

167 d bright light on the necessity of designing multitasking ligands, displaying not only enticing quadr

168 Herein, we report a brand new design of such multitasking ligands, whose structure experiences a quad

169 , they also provide a mechanistic account of multitasking limitations, namely the poor speed of infor

170 , H19 has been extensively investigated as a multitasking lncRNA.

171 We trained a multitask long short-term memory model for total P (TP)

172 onvolutional features extractor trained with multitask loss function.

173 iewed literature implies that limitations in multitasking may result from a trade-off between learnin

174 minutes for every 10 minutes of gaming) and multitasking (mean difference, -35 minutes; 95% CI, -67

175 Conclusion The novel 3D multitasking method enables a comprehensive, 20-minute,

176 like kinase 1 (PLK1), a tumor suppressor and multitasking mitotic kinase.

177 ing the top-performing methodology, Bayesian multitask MKL, and we provide detailed descriptions of a

178 The notion of multitasking MKs was reinforced in recent studies by usi

179 Specifically, multitask ML models are trained on experimental data to

180 Media multitasking (MMT) was defined as simultaneous use of co

181 ed two separately trained neural networks: a multitask model estimating cancer hallmark gene expressi

182 Furthermore, we present a multitask model for joint segmentation of different clas

183 We hypothesized that training a multitask model with the varied data types in EternaBenc

184 1 receptor (Sigmar1) is a widely expressed, multitasking molecular chaperone protein that plays func

185 Befitting its role as a multitasking molecule, we show that CAV1 sensitizes cell

186 To this end, we developed a multitask multiple kernel learning (MTMKL) method with a

187 It explains the multitask nature of this drug and suggests mechanisms of

188 Given their multitask nature, such catalysts would be particularly a

189 Multitasking negatively influences the retention of info

190 de a chemical property decoder, trained as a multitask network, in order to shape the latent represen

191 from t1 to t2 at matched performance in the multitasking network of chemotherapy-treated patients, w

192 conventional models (e.g., random forest and multitask neural network (MNN)) and advanced graph-based

193 The multitask neural network was based on DenseNet-161, a sh

194 In fact, these multitasking neurons had the strongest category effects.

195 These findings suggest that multitasking neurons provide a computational advantage f

196 ing than specialized cells, and (3) pairs of multitasking neurons represent these cognitive parameter

197 , we show that the latter population, called multitasking neurons, improves the encoding of both the

198 grated factorization (TGIF), a generalizable multitask nonnegative matrix factorization (NMF) approac

199 he rotor, highlighting the complex issues in multitasking of chemical fuels.

200 configurable DNA origami pincers (DOPs) that multitask on giant unilamellar vesicles (GUVs).

201 However, the effect of multitasking on operator brain function remains unknown.

202 ng hardware in a computer running a standard multitasking operating system.

203 frontopolar area 10 is recruited in complex multitask operations.

204 ing (fMRI) sessions interspersed by either a multitasking or an active-control training regimen.

205 is a rapidly increasing trend in media-media multitasking or MMM (using two or more media concurrentl

206 ock preventing upper limb-absent people from multitasking or using the full dexterity of their prosth

207 ts of skin biology, we portray the skin as a multitasking organ ensuring body homeostasis.

208 scGAE builds a cell graph and uses a multitask-oriented graph autoencoder to preserve topolog

209 Fully mining such big data requires multitasking; otherwise, occult but important features m

210 e purpose of this study was to test a hybrid multitask paradigm in healthy subjects and in a patient

211 ntal cortex-associated with the magnitude of multitasking performance benefits induced by training at

212 Multitasking performance can, however, be greatly improv

213 study, we investigate neural overlap during multitasking performance in humans, focusing on modality

214 Here we show that multitasking performance, as assessed with a custom-desi

215 is study, the influence of SAR on memory and multitasking performance, as two potentially vulnerable

216 Although training is known to improve multitasking performance, it is unknown how the FP-SC sy

217 is brain region's purported role in limiting multitasking performance.

218 d both neural representations and subsequent multitasking performance.

219 Our MMiRNA-Viewer(2) serves as a multitasking platform in which users can identify signif

220 n how training alters the brain to solve the multitasking problem, it likely involves the prefrontal

221 NRG-1 features a multitasking profile tuning regenerative, inflammatory,

222 In this work, we introduce MPBind, a multitask protein binding site prediction method, which

223 Dna2 nuclease/helicase is a multitasking protein involved in DNA replication and rec

224 These results implicate mammalian HYLS1 as a multitasking protein that facilitates ciliogenesis and c

225 ptimized its genome by evolving a small but 'multitasking' protein to simultaneously control viral an

226 at these pathogens make use of virus-derived multitasking proteins, as well as dedicated host factors

227 In vivo, multitasking provided higher myocardial T1 values than d

228 s work reports tert-butyl nitrite (TBN) as a multitask reagent for (1) the controlled synthesis of N-

229 Lastly, we introduce the concept of multitask reconfigurable and deployable space robots and

230 t (FLASH) pulse sequence, combined with a 3D multitasking reconstruction and multiparametric mapping

231 ntational overlap in general fronto-parietal multitasking regions or modality-specific regions is not

232 We employed a 3D multitask regression and ordinal regression deep neural

233 e propose a novel regularization scheme over multitask regression called jointly structured input-out

234 In this article, we propose a sparse, multitask regression model together with co-clustering a

235 We propose a sparse multitask regression model which learns discriminative l

236 ticle, we consider the problem of learning a multitask regression model while taking advantage of the

237 In addition, we generalize this new multitask regression to structurally regularized polynom

238 pare their behaviour with two algorithms for multitask reinforcement learning, one that maps previous

239 Yet not much is known about human multitask reinforcement learning.

240 und between these increases and decreases in multitasking-related brain activation.

241 eveal computational principles that organize multitask representations across the human cortex to sup

242 characterized the geometry and topography of multitask representations across the human cortex using

243 To investigate computational principles of multitask representations, we trained multilayer neural

244 Multitasking requires individuals to allocate their cogn

245 of anti-1,2-diols has been developed using a multitasking Ru catalyst in an assisted tandem catalysis

246 Value-based decision-making often occurs in multitasking scenarios relying on both cognitive and mot

247 We directly compare this multitask segmentation approach to combining feature-agn

248 that leverages the branching technique in a multitask setting to achieve personalization and continu

249 at we can perceive and what we can act on in multitask settings.

250 s in a target-specific manner and to perform multitasking signal transduction.

251 However, multitasking significantly degrades a driver's situation

252 se results have implications for learning in multitask situations, suggesting that, even if distracti

253 Several automation and multitasking strategies were developed and implemented t

254 ; P = 0.015) were positively associated with multitasking strategy.

255 Understanding this interaction requires multitask studies that vary more than one experimental c

256 We developed an adapted multitask support vector machine (SVM) approach and comp

257 Our results show, that the multitask SVM approach improved the classification perfo

258 impact of single antigens on the non-linear multitask SVM model and make it more interpretable.

259 In conclusion, our multitask SVM model outperforms the studied standard app

260 f the system, we have demonstrated that this multitasking system can be exploited in breeding barley

261 Results Multitasking T1 measurements were highly correlated with

262 rmed a functional magnetic resonance imaging multitasking task in the scanner before the start of tre

263 Multitasking the reinforcement system for motivation pot

264 By applying multitasking theory, we suggest that the spatial zonatio

265 This all-in-one multitask therapeutic device can be considered as a cand

266 only reveal how training leads to efficient multitasking, they also provide a mechanistic account of

267 We relate fluid intelligence and multitasking to multiple brain measures, including grey

268 h electroencephalography, were remediated by multitasking training (enhanced midline frontal theta po

269 es study with humans (both sexes), we paired multitasking training and noninvasive brain stimulation

270 udy of 100 healthy adults, we tested whether multitasking training benefits, assessed using a standar

271 playing an adaptive version of NeuroRacer in multitasking training mode, older adults (60 to 85 years

272 , indexed by visual search performance, when multitasking training was combined with 1.0 mA stimulati

273 Autophagy is a catabolic multitask transport route that takes place in all eukary

274 As such, MRP1 is a multitasking transporter that likely influences the etio

275 A multitask U-Net performed aortic segmentation, landmark

276 ight prefrontal regions), and training task (multitasking vs a control task) and assessed GABA and gl

277 To analyse how kinesin-8 multitasks, we studied the structure and function of the

278 Exposure to smartphones and media multitasking were positively associated with impulsivity

279 -67 to -4 minutes on nights with vs without multitasking) were associated with less total sleep time