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1 when evidence accumulation is constrained upon committing a decision.
2 mentation strategies are important to develop to facilitate decision aid integration for routine medical decisions into c
3                                  Our aim was to combine two decision analytic models to determine the minimum diagnostic
4 ability concerns should not influence the initial treatment decision concerning TAVR versus SAVR in older low-risk patien
5 s with identical visual stimulation, activation shifted the decision criterion selectively when attention was directed to
6 evelopment, and Evaluation) methodology and the Evidence-to-Decision framework, in January 2019, the 13-member Workgroup
7                                                             Decision limit (CCalpha) ranged 0.028-0.182 mug.kg(-1) and ca
8 modulates the information most relevant for the goal of the decision-maker.
9 physiological limits, thus providing a tool that will allow decision-makers to evaluate the relative risk of different sh
10 s in which we dissociated the periods related to perceptual decision making and confidence report by either separating th
11     The use of the evaluation framework can help to improve decision making at farm and policy level to develop sustainab
12 ellite-based DInSAR could be systematically used to support decision making processes in the different phases of a comple
13 d assure timely availability of evidence that is useful for decision making.
14 ing an important step toward understanding human sequential decision making.
15 e assessment of individual patient risks and evidence-based decision making.
16 mic or confrontational fluid challenge studies may also aid decision-making for patients with PH-LHD or otherwise unexpla
17 verine flood risk management using a multi-objective robust decision-making framework in the face of deep uncertainties.
18 m neuroimaging studies suggest that disruptions in flexible decision-making functions in substance-dependent individuals
19  the visual pathways in mice, its role in visual perceptual decision-making is not clear.
20 n prefrontal and parietal regions, we designed a dual route decision-making model that mimics the neural signals of these
21                                       Researcher subjective decision-making on data processing could produce inter- or in
22                          Participants reviewed items of the decision-making process on a seven-point Likert scale or with
23 g that suppression of PM altered sensory integration or the decision-making process rather than processing of local visua
24  (n = 64) using a comprehensive battery of nine value-based decision-making tasks which yield ten distinct measures.
25 -101,606 and scopolamine induced similar positive biases in decision-making to ketamine, but the same effects were not se
26                                                   Realizing decision-making with a few molecules in artificial cells has
27                  We anticipate that our results will inform decision-making within conservation and restoration initiativ
28 been studied under several intersecting umbrellas including decision-making, action selection, perceptual categorization,
29  and propose how they guide information-seeking, attention, decision-making, and learning to help us survive in an uncert
30 ma-induced coagulopathy (TIC), to support early therapeutic decision-making.
31 he use of biomarkers to guide prognostication and treatment decision-making.
32 edical knowledge to be applied appropriately at challenging decision points during case management.
33                                             The full set of decision-process parameters that undergo such flexible adapta
34              BREASTChoice can improve breast reconstruction decision quality by improving patients' knowledge and providi
35 k factors for major bleeding, as well as the application of decision rules to identify patients at low risk of bleeding c
36 te stress exposure affect participants' choice behavior and decision speed in a two-stage sequential reinforcement-learni
37 to identify dynamically important cell states, such as fate decision states in differentiation.
38                            For Giemsa stained sections, the decision support algorithm achieved a sensitivity of 100% com
39 c diagnosis), with a tolerable specificity of 66.2% for the decision support algorithm compared to 92.6 (microscopic diag
40                                        With the help of our decision support algorithm, we show an increased sensitivity
41  the application of smarter, more actionable monitoring and decision support systems and aligned financial incentives can
42 ating delay activity in rhesus monkeys performing a delayed decision task requiring working memory.
43 activity in PFC of male rhesus monkeys performing a delayed decision task requiring working memory.
44 mans as in animals, but how a desire is translated into the decision that an action is worth taking at any particular poi
45                   Background Despite known limitations, the decision to operate on abdominal aortic aneurysm (AAA) is pri
46  and their caregivers and contribute to conflict around the decision to pursue LVAD remains largely unexplored.
47 endation (standard or nonstandard care) and the physician's decision (to accept or reject that recommendation).
48                                                           A decision tree algorithm identified 3 metabolites that correct
49                                                           A decision tree was constructed with associated 2-year mortalit
50                         The vmPFC signals a multiplicity of decision variables, the strength and polarity of which vary w