Evidence accumulation has been the core component in recent development of perceptual and value-based decision-making theories. Most studies have focused on the evaluation of evidence between alternative options. What remains largely unknown is the process that prepares evidence: how may the decision-maker sample different sources of information sequentially, if they can only sample one source at a time? Here we propose a normative framework in prescribing how different sources of information should be sampled proactively to facilitate the decision process: beliefs (...) for different noisy sources are updated in a Bayesian manner and participants can proactively allocate resource for sampling (i.e. saccades) among different sources to maximize the information gain in such process. We show that our framework can account for human participants’ actual choice and saccade behaviors in a two-alternative value-based decision-making task. Moreover, our framework makes novel predictions about the empirical eye movement patterns. (shrink)

Background COVID-19 has greatly impacted the health of incarcerated individuals in the US. The goal of this study was to examine perspectives of recently incarcerated individuals on greater restrictions on liberty to mitigate COVID-19 transmission.Methods We conducted semi-structured phone interviews from August through October 2021 with 21 people who had been incarcerated in Bureau of Prisons (BOP) facilities during the pandemic. Transcripts were coded and analyzed, using a thematic analysis approach.Results Many facilities implemented universal “lockdowns,” with time out of the (...) cell often limited to one hour per day, with participants reporting not being able to meet all essential needs such as showers and calling loved ones. Several study participants reported that repurposed spaces and tents created for quarantine and isolation provided “unlivable conditions.” Participants reported receiving no medical attention while in isolation, and staff using spaces designated for disciplinary purposes (e.g., solitary housing units) for public health isolation purposes. This resulted in the conflation of isolation and discipline, which discouraged symptom reporting. Some participants felt guilty over potentially causing another lockdown by not reporting their symptoms. Programming was frequently stopped or curtailed and communication with the outside was limited. Some participants relayed that staff threatened to punish noncompliance with masking and testing. Liberty restrictions were purportedly rationalized by staff with the idea that incarcerated people should not expect freedoms, while those incarcerated blamed staff for bringing COVID-19 into the facility.Conclusions Our results highlighted how actions by staff and administrators decreased the legitimacy of the facilities’ COVID-19 response and were sometimes counterproductive. Legitimacy is key in building trust and obtaining cooperation with otherwise unpleasant but necessary restrictive measures. To prepare for future outbreaks facilities must consider the impact of liberty-restricting decisions on residents and build legitimacy for these decisions by communicating justifications to the extent possible. (shrink)

PurposeWhite matter damage (WMD) was defined as the appearance of rough and uneven echo enhancement in the white matter around the ventricle. The aim of this study was to develop and validate a risk prediction model for neonatal WMD.Materials and MethodsWe collected data for 1,733 infants hospitalized at the Department of Neonatology at The First Affiliated Hospital of Zhengzhou University from 2017 to 2020. Infants were randomly assigned to training (n= 1,216) or validation (n= 517) cohorts at a ratio of (...) 7:3. Multivariate logistic regression and least absolute shrinkage and selection operator (LASSO) regression analyses were used to establish a risk prediction model and web-based risk calculator based on the training cohort data. The predictive accuracy of the model was verified in the validation cohort.ResultsWe identified four variables as independent risk factors for brain WMD in neonates by multivariate logistic regression and LASSO analysis, including gestational age, fetal distress, prelabor rupture of membranes, and use of corticosteroids. These were used to establish a risk prediction nomogram and web-based calculator (https://caowenjun.shinyapps.io/dynnomapp/). The C-index of the training and validation sets was 0.898 (95% confidence interval: 0.8745–0.9215) and 0.887 (95% confidence interval: 0.8478–0.9262), respectively. Decision tree analysis showed that the model was highly effective in the threshold range of 1–61%. The sensitivity and specificity of the model were 82.5 and 81.7%, respectively, and the cutoff value was 0.099.ConclusionThis is the first study describing the use of a nomogram and web-based calculator to predict the risk of WMD in neonates. The web-based calculator increases the applicability of the predictive model and is a convenient tool for doctors at primary hospitals and outpatient clinics, family doctors, and even parents to identify high-risk births early on and implementing appropriate interventions while avoiding excessive treatment of low-risk patients. (shrink)