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1 differed by vigilance state (vigilant versus drowsy).
2 ask both while fully awake and while getting drowsy, allowing for the characterization of alertness m
3 ms (fatigue, pain, lack of appetite, feeling drowsy and sleep disturbance), 43% were classified into
4                                Specifically, drowsy animals with significant power in the 7- to 9-Hz
5 st (90%) therapeutic procedures employed the drowsy/arousable level of sedation.
6  employed by anesthesiologists: awake/alert, drowsy/arousable, asleep/arousable, deep sedation, and g
7  the infant to bed already asleep instead of drowsy but awake, limited active play or tummy time, usi
8 989 six-minute segments (54 percent) showing drowsy drivers involved just eight drivers.
9 iving behavior at least half the time due to drowsy driving and 19% had an automobile accident or nea
10                                              Drowsy driving and accidents/near misses frequently occu
11 onic Fatigue Scale along with data regarding drowsy driving and automobile accidents/near misses.
12 ed risk for needlestick and sharps injuries, drowsy driving and motor vehicle crashes, and other work
13 ht and rotating shifts increase the risk for drowsy driving and motor vehicle crashes.
14 h characterization of nurse's perceptions of drowsy driving and potential mitigations.
15               Motor vehicle accidents due to drowsy driving are a particular concern.
16 l networks (DNNs) to capture the dynamics of drowsy driving better.
17                                              Drowsy driving following the night shift is persistent a
18     Developing effective countermeasures for drowsy driving in nurses requires a thorough characteriz
19 training and technological interventions for drowsy driving in nurses.
20 siasm for training and technology to prevent drowsy driving suggests high levels of readiness and acc
21  daytime sleepiness, increasing the risk for drowsy driving two to three times.
22               In addition, an exploration of drowsy driving was undertaken.
23  on sleep, the public health implications of drowsy driving, and the common sleep disorders of obstru
24 to elicit night shift nurses' perceptions of drowsy driving, countermeasures, and educational and tec
25 tions focused on four topics: perceptions of drowsy driving, current practices and methods to mitigat
26 d an automobile accident or near miss due to drowsy driving.
27 ccidents/near misses frequently occur due to drowsy driving.
28 t apparent, although the volunteers appeared drowsy during the latter part of the study.
29 e, inoculation of the sciatic nerve with the drowsy (DY) strain of the transmissible mink encephalopa
30  sciatic nerve with either the hyper (HY) or drowsy (DY) strain of the transmissible mink encephalopa
31     PrP(Sc) formation for the hyper (HY) and drowsy (DY) strains of the transmissible mink encephalop
32                   The long-incubation-period drowsy (DY) TME strain was the predominate strain, based
33 ns of hamsters infected with the hyper (HY), drowsy (DY), and 263K TSE strains yielded similar SDS-po
34  brain states ranged from alert vigilance to drowsy/inattention, and, in some cases, to light sleep.
35 on-making in people while fully awake and in drowsy periods.
36 tes from three hamster prion strains (Hyper, Drowsy, SSLOW) subjected to minimal manipulations.
37 plitude spontaneous brain activations in the drowsy state and during sleep, which are shown as large
38 wo parameters correspond well to an awake to drowsy state transition.
39 , in which subjects underwent both awake and drowsy states.
40 is method was employed to classify awake and drowsy states.
41 erminally afflicted with the 263K, 139H, and drowsy strains of hamster-adapted scrapie.
42 omputational method, we segregated alert and drowsy trials from two testing sessions and observed tha
43 ry and neurophysiological links to states of drowsy wakefulness.
44 by the state of alertness; for example, when drowsy, we feel less capable of adequately implementing
45                                Instead, when drowsy, we found an increase in long-range information s