ライフサイエンスコーパス: decision

1 of preparation for an impending sensorimotor decision.

2 k to the moment they felt they had reached a decision.

3 ere each phage genome may make an individual decision.

4 by TAK1 plays a key role in regulating this decision.

5 m linking histone modifications to hESC fate decision.

6 rd function, can be converted on-line into a decision.

7 y informed, counselled and supported in this decision.

8 disease severity and can influence treatment decisions.

9 l cell counts are commonly used for clinical decisions.

10 quently altering SHH-guided neural cell-fate decisions.

11 garding CKD progression may improve clinical decisions.

12 straints can lead to less-than-optimal group decisions.

13 ble source of evidence for making healthcare decisions.

14 on are closely linked to collective movement decisions.

15 from which to make informed drug development decisions.

16 ithin leader regions to implement regulatory decisions.

17 complications and to individualize treatment decisions.

18 cent stimulus history when making perceptual decisions.

19 g low-income individuals lead to less myopic decisions.

20 n in order to make appropriate goal-directed decisions.

21 y offset the effects of low income on myopic decisions.

22 rity and accordingly adjust their management decisions.

23 timodal information for adaptive behavioural decisions.

24 armacological strategies for modulating cell decisions.

25 prevents premature deleterious developmental decisions.

26 nformation in the ECM, guides these cellular decisions.

27 utions, or for hiring, promotion, or funding decisions.

28 and this may translate to important clinical decisions.

29 based on the same information as first-order decisions.

30 ovides 3 algorithms to help guide management decisions.

31 understanding of lymphoid/myeloid cell-fate decisions.

32 iate cellular responses, including cell fate decisions.

33 for lead and related community public health decisions.

34 e methylation signaling impacts on cell fate decisions.

35 organelle communication, and cell life/death decisions.

36 , and geographic location affect organ offer decisions.

37 staging and better inform adjuvant treatment decisions.

38 knowledge could inform paediatric treatment decisions.

39 e role of Fus3 dynamics in driving cell fate decisions.

40 y this population, thereby aiding management decisions.

41 ulating genes involved in mesodermal lineage decisions.

42 sesame oil based on the European Commission Decision 2002/657/EC.

43 Shared decision making is needed to support decisions about breast reconstruction.

44 To assess the quality of patient decisions about breast reconstruction.

45 ciple accepts unique problems, such as panel decisions about scientific or artistic merit, and legal

46 These probabilities depended on decisions about the current state (the correct target) t

47 time would provide valuable flexibility for decisions about when to stop use of OPV in the context o

48 rior to committing to a decision, but not in decision accuracy.

49 results, the Children's Intracranial Injury Decision Aid score is a potentially novel tool to risk s

50 hensive patient assessment, PSI had the best decision-aid tool profile.

51 o perform a DBPCFC, following a standardized decision algorithm.

52 Further, molecules involved in cell death decisions also moonlight as critical nodes in immune sig

53 that encodes the relative value of competing decision alternatives and strongly predicts behavioral v

54 red DAA treatment using a cost-effectiveness decision analysis model to estimate incremental cost-eff

55 dients and would also advance the science of decision analysis.

56 strongest influence on spatial choices when decision and action are temporally close, and that this

57 KLF4 is critical for cell fate decision and has an ambivalent role in tumorigenesis.

58 ve a central role in the cell multiplication decision and in its deregulation in cancer cells.

59 Thus both land-use decisions and aerosols are important factors governing,

60 inform decision making related to investment decisions and CO2 emissions policy in the refining secto

61 asting priorities that can lead to divergent decisions and delays in patient access to new treatments

62 the impact of integrating FFR on management decisions and on clinical outcome of patients with ACS u

63 s method for helping individuals make better decisions and the potential pitfalls related to manipula

64 ntrol strategies based on risk-based culling decisions and three hygiene scenarios.

65 aps between making a prediction and making a decision, and underlying assumptions need to be understo

66 n response to ibrutinib, may inform clinical decisions, and should be evaluated in larger data sets.

67 e data are inconsistent with the notion that decisions are based only on the most recent evidence.

68 eoretical results suggesting that good-based decisions are generated in a neural circuit within the o

69 End-of-life decisions are not only common in the ICU but also freque

70 After incorporating the PLA into their decision as to whether to biopsy a pigmented lesion sugg

71 in our social network, which often guide our decisions as we navigate complex social interactions.

72 evaluate patient motivations, knowledge, and decisions, as well as the impact of surgeon recommendati

73 sure (bolus resuscitation: 19.3 +/- 2 mm Hg, decision assist, closed loop: 24 +/- 0.4 mm Hg; p < 0.05

74 We found that decisions associated with a higher level of cognitive di

75 The optimal timing of decisions balances the rate of biodiversity decline (e.g

76 tion networks allow eukaryotic cells to make decisions based on information about intracellular state

77 nction allows the model-based system to make decisions based on projected future states, while the re

78 = 23) completed a gambling task featuring a decision between a gamble and a safe (certain) option on

79 The cell fate decision between interferon-producing plasmacytoid DC (p

80 external signals and exerts control over the decision between self-renewal and differentiation at the

81 g early infection, the HIV virus makes a key decision between two states: lytic and lysogenic fate.

82 r of draws required prior to committing to a decision, but not in decision accuracy.

83 ng the visual signals so that evidence for a decision can be accumulated elsewhere.

84 ating physician can prioritize what clinical decisions can be pursued in order to provide cancer ther

85 aluable empirical evidence of how management decisions can impact soil GHG emissions and surface SOC

86 Decision confidence, consistency (primed vs unprimed), a

87 and (3) clinical usefulness (net benefit in decision curve analysis) by identifying risk thresholds

88 We used decision-curve analysis to evaluate the clinical usefuln

89 neural circuit patterning and axon guidance decisions during development.

90 etworks that drive the sequence of cell fate decisions during development.

91 rence tomography (OCT) in guiding management decisions during diagnosis, treatment, and follow-up of

92 d by the HLCA and PEI models, the first-step decision dynamics were initially biased toward the choic

93 Vaccinating decisions exemplify a complex, coupled system where vacc

94 ability, shared with other animals, to make decisions for action that are related to future goals, o

95 dels using the machine learning algorithm of Decision Forest (DF) with Mold2 structural descriptors.

96 The Evidence-to-Decision framework was applied to each question, requiri

97 ver, how the brain implements this important decision heuristic and what underlies individual differe

98 nt is well described for individual clinical decisions; however, its role in evaluations of healthcar

99 ions, a decision maker may not communicate a decision immediately and yet feel that at some point she

100 icularly in biology, including the cell-fate decision in developmental processes as well as the genes

101 specification is controlled by a stochastic decision in R7 and instructed to the underlying R8.

102 nsor's suitability to enable a rapid process decision in terms of a successfully performed sterilizat

103 microfibrillar networks influence cell fate decisions in a contextual manner, more information about

104 ic score could be used to inform therapeutic decisions in clinical practice and for the design of cli

105 man-like machines should be designed to make decisions in transparent and comprehensible ways, which

106 adiography Utilization Study [NEXUS] Head CT decision instrument [DI]) can reliably identify patients

107 Moreover, we establish that this decision is made deterministically, downstream of promis

108 ision process is to identify-at the time the decision is made-the control action that provides the be

109 and to identify the genes influencing these decisions is challenging.

110 ns where evidence integration for successive decisions is decoupled, which excludes flat models.

111 ficity, excellent linearity (R(2)>0.988) low decision limits and detection capabilities (<2%), accept

112 strongly predicts behavioral value biases in decisions made approximately 500 ms later.

113 or, including crime, reflect the outcomes of decisions made under conditions of ambiguity rather than

114 re was a lack of agreement between surrogate-decision maker and patient self-reported subjective esti

115 In many situations, a decision maker may not communicate a decision immediatel

116 ards for larger, later rewards requires that decision makers (i) believe future payoffs will occur an

117 Portfolio managers often advise key decision makers at both the team and senior management l

118 Surrogate-decision makers, but not patient self-reported, estimate

119 entation barriers, the argument is made that decision-makers focus on avoiding permit violations and

120 Decision-makers often arrive at different choices when f

121 ore complex topics, including intraoperative decision making (mean, 9.70 vs 2.77 instances per hour,

122 rgeons Predicted Risk of Mortality score for decision making and assessment of early outcome in patie

123 ation to a wide variety of core phenomena in decision making and challenge the idea that preferences

124 e investigated model-based versus model-free decision making and its neural correlates as well as alc

125 een attentional mechanisms, uncertainty, and decision making and may assist the advance of approaches

126 C plays a causal role specifically in visual decision making and may support sensory aspects of the d

127 x (OFC) both make important contributions to decision making and other cognitive processes.

128 ontext effects to spatial context effects in decision making as well as spatial and temporal context

129 Successful decision making critically involves metacognitive proces

130 ementation of on-line IEX will enable faster decision making during process development and could pot

131 for cider production will allow for informed decision making for both apple producers and cider maker

132 Such insight might be useful in the clinical decision making for those who apply emicizumab in their

133 fying brain areas that play a causal role in decision making has proved challenging.

134 egation between metacognitive and perceptual decision making impairments.

135 ions, there is little data to guide clinical decision making in cases with double mutations.

136 to identify computational impairments during decision making in generalized anxiety disorder.

137 We also examined the time-course of decision making in other, related tasks and report condi

138 This information would be valuable for decision making in patients with unilateral breast cance

139 tal circuit dysregulation drives maladaptive decision making in psychopathy, supporting the notion th

140 Shared decision making is needed to support decisions about bre

141 We first demonstrate that intertemporal decision making is prone to the attraction effect in hum

142 The evidential basis for disease management decision making is provided by data relating to risk fac

143 Perceptual decision making is the process by which animals detect,

144 ral principle guiding intersubject trade-off decision making observed in our study is best described

145 re provide only limited guidance in clinical decision making owing to heterogeneity and scarcity.

146 re extensive and detailed guidance regarding decision making provided both in the text and in the upd

147 infections, hopefully facilitating clinical decision making regarding further investigations and the

148 The analysis can help inform decision making related to investment decisions and CO2

149 or agents and thiopurines to inform clinical decision making when applying TDM in a reactive setting.

150 related to cognitive processing (non-verbal decision making).

151 ionable molecular alterations, the effect on decision making, and identification of alterations assoc

152 s on choice behavior in a rat model of risky decision making, depending on the phase in which inhibit

153 alize massive multiomics data in therapeutic decision making, enabling widespread implementation of p

154 the pubertal transition and is implicated in decision making, learning, and psychopathology.

155 mic outbreak can lead to rapid and efficient decision making, provided that the uncertainty affects p

156 ussion about CPM, satisfaction with surgical decision making, receipt of second surgical opinion, and

157 pproaches play an important role in clinical decision making, treatment guidelines, and health policy

158 ians to use these devices for prompt medical decision making.

159 tion for differential sensory processing and decision making.

160 titude to violence, social independence, and decision making.

161 omized clinical trials to guide practitioner decision making.

162 nges for diagnosis, treatments, and clinical decision making.

163 h that from the recent past to guide ongoing decision making.

164 can be applied during building design to aid decision making.

165 timuli, thus driving motivated behaviors and decision making.

166 , and thus may offer guidance in therapeutic decision making.

167 rdiovascular system are central for clinical decision making.

168 ey social and contextual drivers of temporal decision making.

169 en biologics to inform clinical practice and decision making.

170 drenaline, on loss aversion during financial decision making.

171 position posing challenges for public health decision making.

172 n and temozolomide and to influence clinical decision making.

173 Our predictions will assist in decision-making about surveillance and preventive measur

174 These findings suggest problems with decision-making and information integration in MDD patie

175 best incorporate genomic testing in clinical decision-making and subsequent treatment recommendations

176 L composite model that could guide treatment decision-making and trial design in AML.

177 (LRTCs) in cortex, which are supportive for decision-making and working memory tasks.

178 ates and residual risks provided for patient decision-making are impacted if using self-reported ethn

179 ortex-wide Ca(2+) imaging in mice performing decision-making behavior and identify a global cortical

180 ognitive training with respect to changes in decision-making behavior or brain response, or for cogni

181 array of sensory information and facilitate decision-making behaviors in C. elegans.

182 The general features of this collective decision-making by a group of simple yes/no units reveal

183 exchange within a recognised model of shared decision-making do not adequately fit with patient/nurse

184 describe why a shared approach to treatment decision-making for asthma has the potential to be an ef

185 The study of decision-making has mainly focused on isolated decisions

186 We assessed patient decision-making in a LIC with a cash-based health care e

187 ribute to deficits in behavioral control and decision-making in adults who abused alcohol during adol

188 behavior and self-reported self-reliance for decision-making in other social contexts correlated.

189 t clinical practice, and promote value-based decision-making in the cancer drug market.

190 of costs and benefits resembling non-optimal decision-making in which choices of high-cost/high-rewar

191 Value-based decision-making involves an assessment of the value of i

192 nse ratio approach (Cmax/AC50), analogous to decision-making methods for clinical drug-drug interacti

193 I for threshold crossing during the critical decision-making period.

194 hood that their health information or shared decision-making preferences would be met.

195 e identified as influencing the reproductive decision-making process in women living with HIV: 'Socio

196 Routine integration of FFR into the decision-making process of ACS patients with obstructive

197 ducational attainment wanted to delegate the decision-making process to the ophthalmologist.

198 ated to patients during the shared treatment decision-making process.

199 hich are critical in clinical and regulatory decision-making process.

200 nal and biochemical analyses to characterize decision-making processes, assessed by probabilistic rev

201 adaptive plasticity underlying dysfunctional decision-making related to neuropsychiatric conditions.

202 to support donor candidates in well informed decision-making requires grounding in perspectives of co

203 ferent contributions of different memory and decision-making systems thought to contribute even to si

204 rning by using parameters estimated from the decision-making task and the separate motor noise measur

205 re as rats performed a complex reward-guided decision-making task in which predicted reward value was

206 ing an explorative motor learning task and a decision-making task which had a similar underlying stru

207 uring performance of a complex reward-guided decision-making task.

208 nation with pattern-based neuroimaging and a decision-making task.

209 in healthy controls, a region implicated in decision-making under uncertainty.

210 behavior), good data are not enough for good decision-making, and health workers are important agents

211 both arms received standardized therapeutic decision-making, continuous positive airway pressure (CP

212 duals' valuation of potential rewards during decision-making, independent from reward experience.

213 addressing such problems include multisector decision-making, institutions that enable management to

214 cations and advocacy; (2) informing national decision-making, planning, and implementation; and (3) i

215 hopathologies characterized by dysfunctional decision-making, such as addiction and pathological gamb

216 humans is considered as optimal, "rational" decision-making.

217 understood in order to optimize data-driven decision-making.

218 information provided from them for clinical decision management.

219 me patients and some conditions, an informed decision may lead to earlier and potentially more effect

220 e environmental cues that regulate FCSC fate decisions may contribute to deciphering the mechanisms u

221 he predicted and actual outcome of another's decisions-might play a crucial role in processing social

222 rm structure and makes clinical trial design decisions more explicit.

223 sage of each individual through life history decision nodes (eg, how fast to grow, when to mature, an

224 n seeking, and random exploration, driven by decision noise.

225 We classified participants by HARSP decisions of confirmed, probable, suspected, or non-rabi

226 During economic decisions, offer value cells in orbitofrontal cortex (OF

227 Life-critical perceptual decisions often involve searching large image data (e.g.

228 to clinical applications to support a prompt decision on patient treatment.

229 r complex factors that may influence staff's decisions on the ethical dilemmas raised by dementia.

230 participants made a series of accept/reject decisions on whether the stake offered (1, 4, 8, 12, or

231 ive nodes and a high clinical risk to inform decisions on withholding adjuvant systemic chemotherapy.

232 tive skills needed to challenge a superior's decision, or a control group receiving general crisis ma

233 y enhanced aversion to uncertainty about the decision outcome (e.g., risk) or aversion to negative ou

234 that SMVM outperforms human task delegation decisions over 80% of the time under common workload con

235 family is too distressed and will regret the decision; overruling harms other patients; and regulatio

236 se models, we design a two-step reward-based decision paradigm and implement it in a reaching task ex

237 The time of seed germination is a major decision point in the life of plants determining future

238 ese manipulations, precisely targeted at the decision point, were sufficient to bidirectionally influ

239 The primary objective of the decision process is to identify-at the time the decision

240 The treatment decision process, at diagnosis and at relapse, therefore

241 cesses such as monitoring and control of our decision process.

242 hen encodes value representations that drive decision processes.

243 s correspond to the terminating process of a decision rather than a post hoc inference or arbitrary r

244 Whether sex differences in treatment decisions reflect patient preferences or treatment biase

245 highlight that ERN may help guide treatment decisions regarding engagement in CBT or SSRIs, especial

246 s under TU is comparable to commonly debated decisions regarding time discounting.

247 s people to make risk-averse or risk-seeking decisions, respectively.

248 Analysis of the HSCT decisions revealed the anticipated heterogeneity, favori

249 oted comparable) according to a prespecified decision rule (ie, posterior probability for comparabili

250 Clinical decision rules can help to determine the need for CT ima

251 vement within this landscape based on simple decision rules drawn from statistical mechanics.

252 orm upon wider food allergen risk management decision(s) that are made by food manufacturer.

253 mate posterior cingulate cortex (PCC) signal decision salience during foraging to motivate disengagem

254 concluded that the further incorporation of decision science into alternatives analysis would advanc

255 Post decision self judgements of probability of correct choic

256 Future cannabis-related policy decisions should include consideration of scientific fin

257 ft diffusion), provides a unified account of decision speed and accuracy, and it is supported by neur

258 Frequency of OCT-guided management decisions, stratified by indication and type of guidance

259 aking and may support sensory aspects of the decision, such as interpreting the visual signals so tha

260 rovider overrides of evidence-based clinical decision support (CDS) for ordering computed tomographic

261 d findings could be used to improve clinical decision support and personalize trajectories, thereby d

262 scalable data-driven algorithmic management decision support systems for crowdsourcing.

263 For computerized methods to be useful as decision support tools, they need to be resilient to dat

264 te views; 112 users (38%) completed clinical decision support.

265 ata must be interpreted by multidisciplinary decision-support teams to determine mutation actionabili

266 the 74 participants in the laboratory risky decision task (mean age, 34.2 [10.3] years), 44 (59%) we

267 o overtly sample information in a perceptual decision task that required information from across mult

268 ley rats were tested in several cost-benefit decision tasks after excitotoxic lesions of the RMTg or

269 der the Affordable Care Act is a state-level decision that affects how patients with traumatic injury

270 mbryo is fundamental for the first cell fate decision that sets aside progenitor cells for both the n

271 Here, we present a data-driven decision-theoretical model of feeding in Caenorhabditis

272 is information was provided by each saccadic decision threshold, which represented the total evidence

273 change exposure, suggesting a time-dependent decision threshold.

274 proteins that regulate alternative splicing decisions through interactions with the splicing machine

275 e or primary nonfunction at liver transplant decision time assists utilization of scarce resource of

276 The subjective decision times (tSDs) were faster on trials with stronge

277 The decision to disperse or remain philopatric between breed

278 the balance of values underlying the policy decision to eliminate nonmedical exemptions is clearly a

279 Whether CAC score can assist in guiding the decision to initiate statin treatment for primary preven

280 ling among bereaved surrogates involved in a decision to limit life support in the ICU.

281 ization status, this forms the basis for the decision to perform a DBPCFC, following a standardized d

282 vmPFC/mOFC) is involved in constraining the decision to the relevant options.

283 In the acute setting, the decision to withhold anticoagulants is based on an indiv

284 We first review evidence that decisions to communicate information are determined by t

285 There is great need to understand decisions to intervene restoratively and to find impleme

286 reaks in Russia and Sweden in 2016, critical decisions to reduce morbidity and mortality include rapi

287 These brain variables predicted future decisions to regulate emotion beyond what could be predi

288 Our results revealed the following: (1) decisions to regulate were more frequent in individuals

289 A decision tree performs better than existing methods when

290 Using this database we trained a decision tree that shows the order of importance, and ra

291 We use the decision tree to classify de novo assembled sequences an

292 oduct integrated pest management (IPM) makes decisions using knowledge of population dynamics and thr

293 In the presented case, decision was made to use radial access despite several r

294 report of having made an informed treatment decision were inversely associated with regret.

295 ioenergetics) and apoptosis (cell life/death decision) were thought to be separate.

296 cision-making has mainly focused on isolated decisions where choices are associated with motor action

297 effect, can provide new understanding about decisions whether to migrate or not.

298 res, past experience (learning) affects such decisions, which ultimately can impact plant fitness.

299 The optimal decision will vary in different social-ecological contex

300 illness is key for making informed treatment decisions, yet studies suggest an association between pr