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The ability of a human to retrospectively estimate the amount of time spent on a task is largely only understood when the period of time is seconds- or minutes-long. The lack of research into estimation of longer periods of time can be attributed, in part, to the difficulty of measuring ground truth durations when the task is broken up by other activities in a natural, day-to-day setting. An empirically based model of engagement was recently proposed that statistically estimates time-on-task for computer programming assignments in an introductory computer programming course. Computer programming assignments can be completed in many sessions across days or weeks and, based on recorded keystroke data, an objective ground truth of task duration can be measured. In this work, we take advantage of this new measurement method to explore duration estimation of tasks lasting hours that are spread out over multiple days in a natural setting. Subjects in our study overestimated time-on-task 78% of the time and reported a median of 1.45 hours worked for every actual hour spent on task. We find that self-reports are more accurate when students score higher on their assignments in our data, suggesting the accuracy of estimated time is correlated with task performance.

Purpose of ReviewFood allergies are immune-mediated, complex disorders, which are the source of increasing health concern worldwide. The goal of this review is to present an updated summary of the food allergy (FA) burden among children and adults across different populations, focusing on research from the past 5 years.Recent FindingsFAs impact a growing number of global residents—particularly those residing in higher-income, industrialized regions. Moreover, growing epidemiologic evidence suggests that the population health burden of non-IgE-mediated FAs, such as food protein-induced enterocolitis syndrome, may also be higher than previously reported.SummaryFA is a complex trait that impacts infants, children, as well as adults across the globe. The population health burden of both IgE- and non-IgE-mediated FAs is likely to grow in the absence of rapid advances and widespread implementation of effective FA prevention and treatment interventions. Systematic epidemiological research initiatives are needed, both nationally and globally, to better understand and reduce the burden of these allergic diseases.

Charitable donations are an altruistic behavior whereby individuals donate money or other resources to benefit others while the recipient is normally absent from the context. Several psychological factors have been shown to influence charitable donations, including a cost-benefit analysis, the motivation to engage in altruistic behavior, and the perceived psychological benefits of donation. Recent work has identified the ventral medial prefrontal cortex (MPFC) for assigning value to options in social decision making tasks, with other regions involved in empathy and emotion contributing input to the value computation (e.g. Hare et al., 2010; Hutcherson et al., 2015; Tusche et al., 2016). Most impressively, multivariate pattern analysis (MVPA) has been applied to fMRI data to predict donation behavior on a trial-by-trial basis from ventral MPFC activity (Hare et al., 2010) while identifying the contribution of emotional processing in other regions to the value computation (e.g. Tusche et al., 2016). MVPA of EEG data may be able to provide further insight into the timing and scalp topography of neural activity related to both value computation and emotional effects on donation behavior. We examined the effect of incidental emotional states and the perceived urgency of the charitable cause on donation behavior using support vector regression on EEG data to predict donation amount on a trial by trial basis. We used positive, negative, and neutral pictures to induce incidental emotional states in participants before they made donation decisions concerning two types of charities. One category of charity was oriented toward saving people from current suffering, and the other was to prevent future suffering. Behaviorally, subjects donated more money in a negative emotional state relative to other emotional states, and more money to alleviate current over future suffering. The data-driven multivariate pattern analysis revealed that the electrophysiological activity elicited by both emotion-priming pictures and charity cues could predict the variation in donation magnitude on a trial-by-trial basis.

Importance Food allergies affect approximately 8% of children and 11% of adults in the US. Racial differences in food allergy outcomes have previously been explored among Black and White children, but little is known about the distribution of food allergies across other racial, ethnic, and socioeconomic subpopulations. Objective To estimate the national distribution of food allergies across racial, ethnic, and socioeconomic groups in the US. Design, Setting, and Participants In this cross-sectional survey study, conducted from October 9, 2015, to September 18, 2016, a population-based survey was administered online and via telephone. A US nationally representative sample was surveyed. Participants were recruited using both probability- and nonprobability-based survey panels. Statistical analysis was performed from September 1, 2022, through April 10, 2023. Exposures Demographic and food allergy–related participant characteristics. Main Outcomes and Measures Stringent symptom criteria were developed to distinguish respondents with a “convincing” food allergy from those with similar symptom presentations (ie, food intolerance or oral allergy syndrome), with or without physician diagnosis. The prevalence of food allergies and their clinical outcomes, such as emergency department visits, epinephrine autoinjector use, and severe reactions, were measured across race (Asian, Black, White, and >1 race or other race), ethnicity (Hispanic and non-Hispanic), and household income. Complex survey-weighted proportions were used to estimate prevalence rates. Results The survey was administered to 51 819 households comprising 78 851 individuals (40 443 adults and parents of 38 408 children; 51.1% women [95% CI, 50.5%-51.6%]; mean [SD] age of adults, 46.8 [24.0] years; mean [SD] age of children, 8.7 [5.2] years): 3.7% Asian individuals, 12.0% Black individuals, 17.4% Hispanic individuals, 62.2% White individuals, and 4.7% individuals of more than 1 race or other race. Non-Hispanic White individuals across all ages had the lowest rate of self-reported or parent-reported food allergies (9.5% [95% CI, 9.2%-9.9%]) compared with Asian (10.5% [95% CI, 9.1%-12.0%]), Hispanic (10.6% [95% CI, 9.7%-11.5%]), and non-Hispanic Black (10.6% [95% CI, 9.8%-11.5%]) individuals. The prevalence of common food allergens varied by race and ethnicity. Non-Hispanic Black individuals were most likely to report allergies to multiple foods (50.6% [95% CI, 46.1%-55.1%]). Asian and non-Hispanic White individuals had the lowest rates of severe food allergy reactions (Asian individuals, 46.9% [95% CI, 39.8%-54.1%] and non-Hispanic White individuals, 47.8% [95% CI, 45.9%-49.7%]) compared with individuals of other races and ethnicities. The prevalence of self-reported or parent-reported food allergies was lowest within households earning more than $150 000 per year (8.3% [95% CI, 7.4%-9.2%]). Conclusions and Relevance This survey study of a US nationally representative sample suggests that the prevalence of food allergies was highest among Asian, Hispanic, and non-Hispanic Black individuals compared with non-Hispanic White individuals in the US. Further assessment of socioeconomic factors and corresponding environmental exposures may better explain the causes of food allergy and inform targeted management and interventions to reduce the burden of food allergies and disparities in outcomes.

The adaptive regulation of the trade-off between pursuing a known reward (exploitation) and sampling lesser-known options in search of something better (exploration) is critical for optimal performance. Theory and recent empirical work suggest that humans use at least two strategies for solving this dilemma: a directed strategy in which choices are explicitly biased toward information seeking, and a random strategy in which decision noise leads to exploration by chance. Here we examined the hypothesis that random exploration is governed by the neuromodulatory locus coeruleus-norepinephrine system. We administered atomoxetine, a norepinephrine transporter blocker that increases extracellular levels of norepinephrine throughout the cortex, to 22 healthy human participants in a double-blind crossover design. We examined the effect of treatment on performance in a gambling task designed to produce distinct measures of directed exploration and random exploration. In line with our hypothesis we found an effect of atomoxetine on random, but not directed exploration. However, contrary to expectation, atomoxetine reduced rather than increased random exploration. We offer three potential explanations of our findings, involving the non-linear relationship between tonic NE and cognitive performance, the interaction of atomoxetine with other neuromodulators, and the possibility that atomoxetine affected phasic norepinephrine activity more so than tonic norepinephrine activity.

Purpose of ReviewIn recent decades, food allergy has become an increasing concern for families, clinicians, and policymakers. This review aims to summarize what is currently known about the epidemiology and population-level burden of IgE-mediated food allergy, including its effects on quality of life.Recent FindingsPrevalence surveys, healthcare utilization data, and findings from longitudinal cohort studies across the globe indicate that food allergy imposes a growing societal burden. Worryingly, recent data indicate that food allergies may be more prevalent among adult populations than previously acknowledged, with many reported cases of adult-onset allergies.SummaryWhile it remains unclear how much of the current population-level burden of disease results from true, IgE-mediated allergy, as much epidemiological data does not incorporate clinical confirmation of disease prevalence—it is clear that affected individuals suffer impairments in their quality of life and incur substantial economic costs—beyond the physical health burden imposed by anaphylaxis.

Persons with HIV (PWH) on long-term antiretroviral therapy (ART) have a higher incidence and prevalence of cardiometabolic diseases attributed, in part, to persistent inflammation despite viral suppression. In addition to traditional risk factors, immune responses to co-infections such as cytomegalovirus (CMV) may play an unappreciated role in cardiometabolic comorbidities and offer new potential therapeutic targets in a subgroup of individuals. We assessed the relationship of CX3CR1 + , GPR56 + , and CD57 +/- T cells (termed CGC + ) with comorbid conditions in a cohort of 134 PWH co-infected with CMV on long-term ART. We found that PWH with cardiometabolic diseases (non-alcoholic fatty liver disease, calcified coronary arteries, or diabetes) had higher circulating CGC + CD4 + T cells compared to metabolically healthy PWH. The traditional risk factor most correlated with CGC + CD4 + T cell frequency was fasting blood glucose, as well as starch/sucrose metabolites. While unstimulated CGC + CD4 + T cells, like other memory T cells, depend on oxidative phosphorylation for energy, they exhibited higher expression of carnitine palmitoyl transferase 1A compared to other CD4 + T cell subsets, suggesting a potentially greater capacity for fatty acid β-oxidation. Lastly, we show that CMV-specific T cells against multiple viral epitopes are predominantly CGC + . Together, this study suggests that among PWH, CGC + CD4 + T cells are frequently CMV-specific and are associated with diabetes, coronary arterial calcium, and non-alcoholic fatty liver disease. Future studies should assess whether anti-CMV therapies could reduce cardiometabolic disease risk in some individuals.

Introduction Children with developmental language disorder (DLD) exhibit cognitive deficits that interfere with their ability to learn language. Little is known about the functional neuroanatomical differences between children developing typically (TD) and children with DLD. Methods Using functional near‐infrared spectroscopy, we recorded oxygenated hemoglobin (O2hb) concentration values associated with neural activity in children with and without DLD during an auditory N‐back task that included 0‐back, 1‐back, and 2‐back conditions. Analyses focused on the left dorsolateral prefrontal cortex (DLPFC) and left inferior parietal lobule (IPL). Multilevel models were constructed with accuracy, response time, and O2hb as outcome measures, with 0‐back outcomes as fixed effects to control for sustained attention. Results Children with DLD were significantly less accurate than their TD peers at both the 1‐back and 2‐back tasks, and they demonstrated slower response times during 2‐back. In addition, children in the TD group demonstrated significantly greater sensitivity to increased task difficulty, showing increased O2hb to the IPL during 1‐back and to the DLPFC during the 2‐back, whereas the DLD group did not. A secondary analysis revealed that higher O2hb in the DLPFC predicted better task accuracy across groups. Conclusion When task difficulty increased, children with DLD failed to recruit the DLPFC for monitoring information and the IPL for processing information. Reduced memory capacity and reduced engagement likely contribute to the language learning difficulties of children with DLD. Using fNIRS, we recorded oxygenated hemoglobin (O2hb) concentration values in children with and without DLD during an auditory N‐back task that included 0‐back, 1‐back, and 2‐back conditions. Typically developing children displayed sensitivity to working memory load in the frontal and parietal areas. Children with developmental language disorders demonstrated difficulties in engaging frontal parietal areas related to working memory. Higher O2hb concentration values in the left dorsolateral prefrontal cortex predicted better task accuracy across groups.

According to ideomotor theory, goal-directed action involves the active perceptual anticipation of actions and their associated effects. We used multivariate analysis of fMRI data to test if preparation of an action promotes precision in the perceptual representation of the action. In addition, we tested how reward magnitude modulates this effect. Finally, we examined how expectation and uncertainty impact neural precision in the motor cortex. In line with our predictions, preparation of a hand or face action increased the precision of neural activation patterns in the extrastriate body area (EBA) and fusiform face area (FFA), respectively. The size of this effect of anticipation predicted individuals' efficiency at performing the prepared action. In addition, increasing reward magnitude increased the precision of perceptual representations in both EBA and FFA although this effect was limited to the group of participants that learned to associate face actions with high reward. Surprisingly, examination of representations in the hand motor cortex and face motor cortex yielded effects in the opposite direction. Our findings demonstrate that the precision of representations in visual and motor areas provides an important neural signature of the sensorimotor representations involved in goal-directed action. [Display omitted]

Awkward kneeling in sloped shingle installation operations exposes roofers to knee musculoskeletal disorder (MSD) risks. To address the varying levels of risk associated with different phases of shingle installation, this research investigated utilizing machine learning to automatically classify seven distinct phases in a typical shingle installation task. The classification process relied on analyzing knee kinematics data and roof slope information. Nine participants were recruited and performed simulated shingle installation tasks while kneeling on a sloped wooden platform. The knee kinematics data were collected using an optical motion capture system. Three supervised machine learning classification methods (i.e., k-nearest neighbors (KNNs), decision tree (DT), and random forest (RF)) were selected for evaluation. The KNN classifier provided the best performance for overall accuracy. The results substantiated the feasibility of applying machine learning in classifying shingle installation phases from workers’ knee joint rotation and roof slope angles, which may help facilitate method and tool development for automated knee MSD risk surveillance and assessment among roofers.