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1 sion of labor) of DC subsets and plasticity (multitasking).
2 ocessing that severely limits our ability to multitask.
3 tem functionally changes to support improved multitasking.
4 shift in processing strategy (P < 0.001) in multitasking.
6 nt study was to assess school-age children's multitasking abilities during degraded speech recognitio
7 ed an established cognitive control measure, multitasking ability, with structural brain imaging in a
12 33 protein, previously called rSp0032, shows multitasking antipathogen binding ability, suggesting th
13 In supervised prediction applications, our multitask approach leverages similarities in response pr
14 se a novel, biologically motivated, Bayesian multitask approach, which explicitly models gene-centric
15 runs an operating system that is capable of multitasking: as a demonstration, we perform counting an
19 k metrics reflect the ability of trainees to multitask (automaticity) and may improve performance ass
20 equirement, humans are thought to be poor at multitasking because of the processing limitations of fr
22 temporal correlations are a signature of a 'multitasking' behavior of network agents, characterized
24 undergo structural transformation to enable multitasking binding activity toward a wide range of tar
33 e, older adults (60 to 85 years old) reduced multitasking costs compared to both an active control gr
36 rence in results between assessment with the multitask design and that with the traditional block des
39 d substantial evidence has accrued regarding multitasking difficulties and cognitive control deficits
43 assembly and assign another function to this multitask enzyme but also provide useful insights into a
45 to simultaneously accomplish multiple goals (multitasking), generating interference as the result of
47 alyses (MVPA) revealed that training induced multitasking improvements were predicted by divergence i
48 their functional complexity through protein multitasking, in which many genes adopt new roles to cou
55 drug response data sets to demonstrate that multitask learning across drugs strongly improves the ac
57 ity prediction against a panel of drugs in a multitask learning framework by formulating a novel Baye
58 nst a panel of drugs simultaneously within a multitask learning framework improves overall predictive
59 article, we propose a new sparse multimodal multitask learning method to reveal complex relationship
60 m from a machine learning angle: as either a multitask learning problem or a multiple output regressi
62 urthermore, SeqGL can be naturally used with multitask learning to identify genomic and cell-type con
63 red sparsity regularizations into multimodal multitask learning to integrate multidimensional heterog
64 on a formalism from machine learning called 'multitask learning', which considers the problem of buil
65 d bright light on the necessity of designing multitasking ligands, displaying not only enticing quadr
66 Herein, we report a brand new design of such multitasking ligands, whose structure experiences a quad
67 , they also provide a mechanistic account of multitasking limitations, namely the poor speed of infor
69 ing the top-performing methodology, Bayesian multitask MKL, and we provide detailed descriptions of a
72 from t1 to t2 at matched performance in the multitasking network of chemotherapy-treated patients, w
75 ing than specialized cells, and (3) pairs of multitasking neurons represent these cognitive parameter
76 , we show that the latter population, called multitasking neurons, improves the encoding of both the
80 is a rapidly increasing trend in media-media multitasking or MMM (using two or more media concurrentl
82 e purpose of this study was to test a hybrid multitask paradigm in healthy subjects and in a patient
83 ntal cortex-associated with the magnitude of multitasking performance benefits induced by training at
86 is study, the influence of SAR on memory and multitasking performance, as two potentially vulnerable
89 n how training alters the brain to solve the multitasking problem, it likely involves the prefrontal
91 ptimized its genome by evolving a small but 'multitasking' protein to simultaneously control viral an
92 at these pathogens make use of virus-derived multitasking proteins, as well as dedicated host factors
93 s work reports tert-butyl nitrite (TBN) as a multitask reagent for (1) the controlled synthesis of N-
94 e propose a novel regularization scheme over multitask regression called jointly structured input-out
96 ticle, we consider the problem of learning a multitask regression model while taking advantage of the
100 of anti-1,2-diols has been developed using a multitasking Ru catalyst in an assisted tandem catalysis
103 se results have implications for learning in multitask situations, suggesting that, even if distracti
106 f the system, we have demonstrated that this multitasking system can be exploited in breeding barley
107 rmed a functional magnetic resonance imaging multitasking task in the scanner before the start of tre
109 only reveal how training leads to efficient multitasking, they also provide a mechanistic account of
111 h electroencephalography, were remediated by multitasking training (enhanced midline frontal theta po
112 udy of 100 healthy adults, we tested whether multitasking training benefits, assessed using a standar
113 playing an adaptive version of NeuroRacer in multitasking training mode, older adults (60 to 85 years
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