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1 and influence the feeding-versus-exploration decision.
2 ory uncertainty, obtained through a rewarded decision.
3 ccumulation is constrained upon committing a decision.
4 nce of additional evidence after the initial decision.
5  density information into the lysis-lysogeny decision.
6 y influence motivational feelings and action decisions.
7 ns of the primate brain to guide value-based decisions.
8 veillance findings into timely and effective decisions.
9 ave a profound effect on clinical management decisions.
10 and offer important insight into B cell fate decisions.
11 esentation of social inputs into value-based decisions.
12 e behavior an adaptive trait for mate choice decisions.
13 ns allow us to reason better and make better decisions.
14 be kept in mind when making platform testing decisions.
15 ly modulate how expectations influence their decisions.
16 s' masks one's race, suggesting bias in stop decisions.
17 nce in models if they are to influence their decisions.
18 ntially facilitating a broad range of future decisions.
19 rameters, interdependent rules and empirical decisions.
20 and discuss how this can impact on cell-fate decisions.
21 ons for a circuit-level analysis of economic decisions.
22 lation turnover might facilitate key lineage decisions.
23 ased or increased through various allocation decisions.
24 er areas have more complex effects on visual decisions.
25 taken into consideration for further medical decisions.
26  cell polarization, ACD and binary cell fate decisions.
27 xplore (4), suggest (5), or declare the next decision (6); III) Influence the manual ongoing action:
28 d patients to help them make better-informed decisions about offering and accepting OIT, respectively
29                                              Decisions about optimal drug therapy in moderate to seve
30 ity of the patient-surgeon relationship when decisions about surgical procedures are made.
31   Not only does geographic range size inform decisions about the conservation and management of rare
32 c illness management and must make difficult decisions about their own health, particularly when the
33 re systems have faced or will face difficult decisions about triage, allocation, and reallocation.
34                                              Decisions about when to act are critical for survival in
35 to facilitate risk stratification, help make decisions about when to use imaging, and inform stage ca
36 se of the coronary artery calcium score as a decision aid in individuals with type 2 diabetes mellitu
37 egies are important to develop to facilitate decision aid integration for routine medical decisions i
38 oration of cost into decision-making and the decision aid, requests for greater specificity regarding
39 hemes identified were general enthusiasm for decision aids for medication decisions, openness on the
40  education; risk assessment, counseling, and decision aids; screening checklists; community engagemen
41                                            A decision analysis of a disease simulation model was used
42                   Our aim was to combine two decision analytic models to determine the minimum diagno
43                                    We used a decision-analytic model for 1000 key workers to compare
44 entiation is both dependent on early lineage decision and on a yet unidentified regulatory mechanism,
45 exive and myopic actions, reflecting reduced decision and state spaces and model-free (MF) architectu
46 ng predictive models, making evidence-driven decisions and accelerating knowledge discovery in life s
47 dback from past experiments to inform future decisions and can be generalized to other applications i
48 e cognitive processes that drive loss-averse decisions and highlights the biological heterogeneity of
49 ocesses by which anxious youth make avoidant decisions and how these choices are reinforced over time
50 compelling evidence for early stage TRM fate decisions and the existence of committed TRM precursor c
51 ement, support rational and shared treatment decisions, and establish sensible treatment expectations
52    Clinical presentation, initial management decisions, and subsequent outcomes and complications wer
53 ers to identify consequential specifications decisions; and (3) conducting joint inference across all
54                                     Polarity decisions are central to many processes, including mitos
55 f this lack of effect is that well-practiced decisions are codified into habits or configural-based p
56 reduced KT activity, yet data to inform such decisions are lacking.
57                                     However, decisions are not guided by choice-linked reward associa
58 lic health policies, and can inform clinical decisions as well.
59 gest that individual lions are making social decisions at both the subgroup level and the pride level
60 ting (AST), resulting in delayed therapeutic decisions at the point of care.
61 inee confidence and knowledge to make career decisions, (b) influence of this added activity on time
62 ed decision-making tasks is that agents make decisions based on the feature dimension that reward pro
63    Here, we compare fixed-time to on-the-fly decisions, based on comparing the likelihoods of anterio
64 ernal messenger RNAs required for patterning decisions before zygotic gene activation.
65 the role of primary cilia in controlling the decision between forming neurons directly or indirectly.
66 s as a "toggle switch" to control the fungal decision between infecting the plant or proliferating ou
67  terminal subcellular address influences the decision between initiating cell death or cell survival
68               Here we show that, when making decisions between more than two alternatives, the decisi
69                        The first hypothesis, decision biasing (DB), postulates that imitation consist
70 8 to the planning of the JUMBO trial and the decision by the National Institutes of Health (NIH) to d
71 uld be used to complement screening referral decisions by identifying those at greatest risk of color
72 o diagnosis of LVH, prognosis, and treatment decisions.(C) RSNA, 2020.
73                                        Human decisions can be biased by irrelevant information.
74 s should not influence the initial treatment decision concerning TAVR versus SAVR in older low-risk p
75                                        These decisions constitute a judgment about the relative dange
76 l visual stimulation, activation shifted the decision criterion selectively when attention was direct
77                                         Such decisions depend on a continuous comparison of a current
78 ssed their experiences in making entrustment decisions during laparoscopic cholecystectomy.
79  to choice alternatives contribute to reward decisions during temporal discounting is not clear.
80 isk, a question that directly affects policy decisions for biodiversity conservation and public healt
81 ever, if competition is strong then the best decisions for cooperation are risk-adverse (low sensitiv
82 iomarkers in human serum to expedite medical decisions for enhanced patient care.
83 at identifies episodic memory's influence on decisions for reward, we propose a framework in which dr
84 ctive and residual fungal lesions to support decisions for safely stopping antifungals.
85  key roles in making programmatic and policy decisions for the Rohingya.
86 p individuals and policy makers make prudent decisions (for example, increasing mask-wearing complian
87                      We used the evidence to decision framework to facilitate recommendations formula
88  Evaluation) methodology and the Evidence-to-Decision framework, in January 2019, the 13-member Workg
89                     We show that promiscuous decisions (high sensitivity, low specificity) are advant
90 elp in diagnosis, prognosis of, or treatment decision in cardiovascular, pulmonary, and metabolic dis
91  which controls the proliferation-quiescence decision in daughter cells and thereby couples protein p
92 her risk for PTB, to promote evidenced-based decision in preterm and early term provider-initiated de
93  Strategic choices in one channel can affect decisions in another.
94 y integrated into the cell death or survival decisions in plant immunity by modulating multiple stres
95 nce these T cells can influence lytic/latent decisions in reactivating neurons, we argue that improvi
96                                   Management decisions in such cases ultimately hinge on individualiz
97 nnel and should inform coral reef management decisions in the region.
98 ic workshop titled "Evidence-Based Treatment Decisions in Transplantation: The Right Dose & Regimen f
99 derstanding gene regulation during cell fate decisions, inflammation and stem cell heterogeneity.
100 decision aid integration for routine medical decisions into clinic workflow.
101                                      Crucial decisions involving cell fate and connectivity that shap
102 fied); and (2) at least a 20% reduction from decision IOP.
103 emonstrate that the network representing the decision is common to both task rules.
104                       Understanding how this decision is made has major implications for improving ca
105                          Understanding model decisions is challenging but of critical importance to g
106  are converted into proliferation-quiescence decisions is poorly understood.
107                                              Decision limit (CCalpha) ranged 0.028-0.182 mug.kg(-1) a
108 ions between more than two alternatives, the decision-maker can even report a second guess that is cl
109 nformation most relevant for the goal of the decision-maker.
110 the most important pieces of information for decision makers in the health sector.
111                                              Decision makers must have sufficient confidence in model
112  probability maps that can inform in-country decision makers of the likelihood that their elimination
113                                        Thus, decision makers urgently need scientific evidence on GBH
114                                    Molecular decision-makers of photoreceptor (PRC) membrane organiza
115 nt confident levels, this method can benefit decision-makers to determine the risks associated with s
116 imits, thus providing a tool that will allow decision-makers to evaluate the relative risk of differe
117                                              Decision making about performance characteristics of HPV
118 issociated the periods related to perceptual decision making and confidence report by either separati
119  Payments may influence physicians' clinical decision making and drug prescribing.
120 ng the risks of FT significantly altered the decision making and risk acceptance of healthy individua
121 the evaluation framework can help to improve decision making at farm and policy level to develop sust
122 erative management (NOM) factors into shared decision making by patient and surgeon; however, the inc
123 ogical questions and provide a framework for decision making by researchers developing new models.
124                                     Tailored decision making for elective repair and considering the
125 bone grafts creates additional difficulty in decision making for practitioners.
126 use of i-OCT affected intraoperative surgeon decision making in 45% and 33% of cases of anterior and
127 here has been no systematic investigation of decision making in depression across tasks.
128 e that this algorithm can support diagnostic decision making in specialist clinical settings with acc
129 s of action, which could help guide clinical decision making in the management of patients with psori
130 lysis) an effective component of value-based decision making in the United States.
131                           These data support decision making on PCV introduction for other low-income
132 These results inform shared, patient-centric decision making on the ideal duration of the use of aspi
133 nSAR could be systematically used to support decision making processes in the different phases of a c
134                                              Decision making requires integrating knowledge gathered
135 ously, to support more personalized clinical decision making than can be made on the basis of only an
136 ormation in working memory (WM) for rational decision making that leads to social-distancing complian
137 its of recently adopted practices in medical decision making that prioritize full decisional autonomy
138 SARS-CoV-2) have many uses for public health decision making, but demand has largely come from indivi
139 merging studies in computational modeling of decision making, caregiver-related transmission of traum
140 ical treatment algorithm to support clinical decision making, with the aim to encourage translation i
141 ce to inform clinical practice and treatment decision making.
142 the potential to be integrated into clinical decision making.
143 e aimed to conduct a meta-analysis to inform decision making.
144 information and could be helpful in clinical decision making.
145  availability of evidence that is useful for decision making.
146 t step toward understanding human sequential decision making.
147  individual patient risks and evidence-based decision making.
148 of specificity and sensitivity in individual decision-making affects the resilience of cooperation in
149  of FEF and caudate neurons to reward-biased decision-making and put experimental constraints on the
150                               Effort-related decision-making and reward learning are both dopamine-de
151 rt of patients to incorporation of cost into decision-making and the decision aid, requests for great
152 tes that the motor system may participate in decision-making but the neural circuit and molecular bas
153 he participants' ratings was good except for decision-making category.
154 gh a distributed representational warping in decision-making circuits.
155 ral heterogeneity: individual differences in decision-making competence and developmental changes acr
156 r data suggest that state representation and decision-making computations for cognitive control are p
157                             Optimal clinical decision-making depends on identification of clinically
158                     Many tasks used to study decision-making encourage subjects to integrate evidence
159 ational fluid challenge studies may also aid decision-making for patients with PH-LHD or otherwise un
160 sk management using a multi-objective robust decision-making framework in the face of deep uncertaint
161 studies suggest that disruptions in flexible decision-making functions in substance-dependent individ
162 tivity, and the impact of impulsivity during decision-making in depressed individuals with and withou
163 racted one level further, to the geometry of decision-making in outlier cells, in order to define evo
164 ificant shift in the study of risky monetary decision-making in psychology, economics, and neuroscien
165     Graph theory approaches to understanding decision-making in single cells may be abstracted one le
166 dered an essential step in guiding treatment decision-making in the management of patients with advan
167 hways in mice, its role in visual perceptual decision-making is not clear.
168                                        Human decision-making is often swayed by irrecoverable investm
169  drift-diffusion model (DDM) is an important decision-making model in cognitive neuroscience.
170 d parietal regions, we designed a dual route decision-making model that mimics the neural signals of
171                        Researcher subjective decision-making on data processing could produce inter-
172 hniques of understanding swarm behavior to a decision-making problem in the mammalian immune system,
173           Participants reviewed items of the decision-making process on a seven-point Likert scale or
174 ion of PM altered sensory integration or the decision-making process rather than processing of local
175 siderations, (ii) patient involvement in the decision-making process, and (iii) pain and/or discomfor
176 in regions that are known to be critical for decision-making processes in cocaine-dependent individua
177 s for PMRT are borderline to enable informed decision-making regarding oncological and reconstructive
178 gful interdisciplinary work, specifically in decision-making research conducted between 2004 and 2017
179 ntify strengths and weaknesses in residents' decision-making skills and yield valuable information to
180 are integrated only at later, postperceptual decision-making stages.
181                               Providers need decision-making support with virtual examination trainin
182 we trained rhesus monkeys to perform a novel decision-making task with both reward asymmetry and temp
183 le and female rats were trained in the risky decision-making task, followed by ovariectomy (OVX), orc
184         A frequent assumption in value-based decision-making tasks is that agents make decisions base
185  a comprehensive battery of nine value-based decision-making tasks which yield ten distinct measures.
186 ecause participants use heuristically driven decision-making that glosses over degrees, and the study
187 s, in part, because they reduce the costs of decision-making through a distributed representational w
188 opolamine induced similar positive biases in decision-making to ketamine, but the same effects were n
189          By relating deficits in value-based decision-making to region-specific Nrxn1alpha disruption
190 s, we modeled performance on a probabilistic decision-making under volatility task using a hierarchic
191                                    Realizing decision-making with a few molecules in artificial cells
192 aw may be a symptom of near-optimal parallel decision-making with noisy input.
193   We anticipate that our results will inform decision-making within conservation and restoration init
194 der several intersecting umbrellas including decision-making, action selection, perceptual categoriza
195 w they guide information-seeking, attention, decision-making, and learning to help us survive in an u
196 ity is associated with movement, reward, and decision-making, and observed in several interacting fre
197 ing cellular nonlinearities to circuit-level decision-making, establishes that distributed computatio
198 t with local case counts in people's vaccine decision-making, it cannot determine whether different d
199  middle temporal (MT) area during perceptual-decision-making, we extracted low-dimensional latent fac
200 ar outcomes and then propose a framework for decision-making, which includes an assessment of the fea
201 , researchers, and policymakers in strategic decision-making.
202 oduces information on a meaningful scale for decision-making.
203 rove the functions of circuits that underlie decision-making.
204 rmance and necessary information for patient decision-making.
205 rkers to guide prognostication and treatment decision-making.
206 -averse opponent is key for optimizing motor decision-making.
207 birth risk has potential to support clinical decision-making.
208 inical value, which is critical to informing decision-making.
209 ationality that underlies people's transport decision-making.
210 gnitive functions like memory, attention, or decision-making.
211 facilitate data synthesis and evidence-based decision-making.
212 inoma aggressiveness may help guide clinical decision-making.
213 tainty is fundamental to human cognition and decision-making.
214 rcuit tracks accumulating uncertainty during decision-making.
215 curs in the ICU around difficult and complex decision-making.
216 , has never been empirically tested on human decision-making.
217 ulopathy (TIC), to support early therapeutic decision-making.
218 omplex components that comprise learning and decision-making.
219 he precision of value computations in social decision-making.
220 sing their expert opinion (3); II) Influence decision-making: explore (4), suggest (5), or declare th
221              However, replicating human-made decisions may inherently be biased by the fallible and d
222 nitially specified in a stochastic cell fate decision mediated by Notch signaling.
223 s, aiming to quantify migration behavior and decision mode for different migrant groups and at differ
224          Using these results, we developed a decision model to estimate probability of transplant-fre
225 ere patient management and infection control decisions need to be made rapidly.
226 rate how, and explore why, the developmental decision of metamorphosis relies on cues from environmen
227                                   The mating decisions of Drosophila melanogaster females are primari
228                                          Our decisions often depend on multiple sensory experiences s
229  processing platforms to provide an accurate decision on the diagnosis of multi-factor diseases.
230           Previously we showed that monkeys' decisions on a direction-discrimination task with asymme
231 esence would inform recurrence risk and thus decisions on anticoagulation duration has largely been d
232 clerosis and this plays an important role in decisions on organ acceptance.
233 he worldviews form the bedrock of individual decisions on sustainable mobility and have a wider signi
234  accounts: enhancement through (1) expedited decision onset, or (2) an increase in the quality of sen
235  enthusiasm for decision aids for medication decisions, openness on the part of patients to incorpora
236  proposes an evidence-based expert consensus decision pathway for their management.
237 e to be applied appropriately at challenging decision points during case management.
238 wards reflected a biased accumulate-to-bound decision process (Fan et al., 2018) that was affected by
239                              The full set of decision-process parameters that undergo such flexible a
240 engendering noisier sensory input into motor decision processes eliciting reactive behaviour.
241 r PFt, and the parietal opercular regions in decision processing and demonstrate that the network rep
242 EASTChoice can improve breast reconstruction decision quality by improving patients' knowledge and pr
243 l laboratories, patients and policymakers in decisions related to the optimal use of SARS-CoV-2 serol
244                                         Many decisions rely on how we evaluate potential outcomes and
245 the subgroup level and the pride level, with decisions representing putatively fitness-enhancing stra
246 ajor bleeding, as well as the application of decision rules to identify patients at low risk of bleed
247 ure affect participants' choice behavior and decision speed in a two-stage sequential reinforcement-l
248 en stress and impulsivity were also found on decision speed.
249 amically important cell states, such as fate decision states in differentiation.
250 teractions with others can alter human motor decision strategies and that competition with a risk-ave
251                                     Maternal decisions, such as where to build a nest or where to lay
252             For Giemsa stained sections, the decision support algorithm achieved a sensitivity of 100
253 ith a tolerable specificity of 66.2% for the decision support algorithm compared to 92.6 (microscopic
254                         With the help of our decision support algorithm, we show an increased sensiti
255 y an automated artificial intelligence-based decision support system (AI-DSS) is as effective and saf
256 n of smarter, more actionable monitoring and decision support systems and aligned financial incentive
257           In conclusion, use of an automated decision support tool for optimizing insulin pump settin
258 In Experiment 1, we established the baseline decision switching behavior: participants switched more
259 ivity in rhesus monkeys performing a delayed decision task requiring working memory.
260  of male rhesus monkeys performing a delayed decision task requiring working memory.
261 accuracy of performance of rats on olfactory decision tasks could be best explained by a Bayesian mod
262 ence were more diagnostic of the prospective decision than task correctness.
263 als, but how a desire is translated into the decision that an action is worth taking at any particula
264        Empirical results hinge on analytical decisions that are defensible, arbitrary and motivated.
265 tude of developmental pathways and cell fate decisions that include MNT's ability to fortify or weake
266 tal biology is to learn the sequence of fate decisions that leads to each mature cell type in a tissu
267                                    Olfactory decisions that were not context-dependent were unimpaire
268 dies using a prediction scheme for treatment decisions, the present evidence supports screening for a
269 e propose a theoretical link between two key decision-theoretic quantities that suggests how to exper
270                                     Bayesian decision theory provides a simple formal elucidation of
271 reported their confidence in the accuracy of decisions they made or decisions they observed.
272 ce in the accuracy of decisions they made or decisions they observed.
273 ce of the need to consider T2DM in treatment decisions, this knowledge will become ever more importan
274 s the influence of promoter architectures on decision times and error rates, present concrete example
275                       Applying this model to decision times revealed asymmetric effects of effort and
276  the first time that the perplexing clinical decision to choose multiple antibiotics for combination
277 The study was terminated prematurely and the decision to discontinue the study was made by the sponso
278    Background Despite known limitations, the decision to operate on abdominal aortic aneurysm (AAA) i
279 givers and contribute to conflict around the decision to pursue LVAD remains largely unexplored.
280  The cornerstone of this update has been the decision to reprocess all high-level LINCS datasets and
281  voluntary action, but an explanation of why decisions to act emerge at particular points in time has
282 , improved performance so as to make optimal decisions to maximize reward.
283  In line with theoretical accounts, people's decisions to move from current locations were independen
284      Evidence is valuable because it informs decisions to produce better outcomes.
285 ard or nonstandard care) and the physician's decision (to accept or reject that recommendation).
286                                            A decision tree algorithm identified 3 metabolites that co
287                                            A decision tree model was constructed based on the probabi
288                                            A decision tree was constructed with associated 2-year mor
289                                   A Bayesian decision tree was used to estimate the probability (95%
290  results obtained report 0.87 on accuracy by decision tree, 0.96 by random forest, 0.91 by simple neu
291                                     Applying decision-tree analysis to our measurements, we are able
292                               We used linked decision trees and Markov models to evaluate outcomes sh
293              Using a neural circuit model of decision uncertainty and change-of-mind behaviour, we de
294                                  Model-based decisions use predictions of the specific consequences o
295 LD correlates with the within trial expected decision-variable.
296          The vmPFC signals a multiplicity of decision variables, the strength and polarity of which v
297                              Explore/exploit decisions were modeled using reinforcement learning algo
298 d BLA enables the animal to make appropriate decisions when faced with competing drives.
299 orphological evaluation dictates therapeutic decisions, where antibiotics are used for H. pylori erad
300  link between the two constructs: A purchase decision will be deemed permissible (or not) to the exte

 
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