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Without perspectives of low-wage workers in studies of worker health and well-being, researchers cannot comprehensively assess occupational health and health equity impacts of workplace exposures and interventions. Researchers and practitioners have noted particular challenges in engaging low-wage workers in worksite-based health survey research, yet little scholarship has described strategies for improving their engagement and response rates. To fill this gap, we present case examples from 5 occupational studies conducted between 2020 and 2024 in industries including health care, food service, and fulfillment centers. For each case, we describe how we identified barriers to worker engagement in surveys, explain specific strategies we used to address those barriers, and assess the effectiveness of these actions. Then, summarizing across case examples, we offer practical recommendations to researchers surveying low-wage populations, highlighting that high-touch recruitment, building trust with workers and managers, and obtaining manager support to take surveys during work time (for worksite-based studies) are critical for obtaining reliable, representative data. Our work contributes to broader discussions on improving survey response rates in vulnerable worker populations and aims to support future researchers undertaking similar efforts. ( Am J Public Health . Published online ahead of print November 14, 2024:e1-e8. https://doi.org/10.2105/AJPH.2024.307875).

Background: Single-country studies document varying time trends in memory function and impairment. Comparative analyses are limited., Methods: We used self-respondent data on adults aged 50+ years in 13 countries from 3 surveys (United States: Health and Retirement Study, 1998-2018; England: English Longitudinal Study of Ageing, 2002-2018; 11 European countries: Survey of Health, Ageing and Retirement in Europe, 2004-2019). Memory is measured with tests of immediate and delayed word recall. Unweighted age- and gender-adjusted mixed effects regression models as well as models with adjustments for additional sociodemographic characteristics and health behaviors were examined. Heterogeneity in trends by gender, age group, and educational attainment was measured., Results: The age-adjusted 10-year improvement in average test score is 0.04 standard deviations (SDs) (95% confidence interval [CI]: 0.03, 0.05) in the United States, 0.17 SDs (95% CI: 0.15, 0.19) in England, and 0.24 SDs (95% CI: 0.23, 0.25) in SHARE countries. Trends are largely similar across gender, age groups, and educational attainment. Regional differences in trends remain after adjustment for potential mechanisms. The difference between the United States and other countries is particularly large under 75 years of age compared to 75 years and older., Conclusions: Pace of improvement in memory function varies strongly across countries. On average, the 11 European countries studied had the fastest improvement, followed by England. The trend in the United States indicates improvement, but at a much slower pace compared to that in England and other European countries. Uncovering the causes for the cross-country heterogeneity in time trends, and in particular the reasons for the comparatively poor performance of the United States, should be both a research and public health priority., (© The Author(s) 2024. Published by Oxford University Press on behalf of The Gerontological Society of America.)

COVID-19 precipitated sharp job losses, concentrated in the service sector. Prior research suggests that such shocks would negatively affect health and wellbeing. However, the nature of the pandemic crisis was distinct in ways that may have mitigated any such negative effects, and historic expansions in unemployment insurance (UI) may have buffered workers from negative health consequences. We draw on employer-employee linked cross-sectional (N = 15,219) and panel (N = 3307) data from service sector workers to estimate the effects of job loss on health and wellbeing during COVID-19. Using employer fixed-effects, lagged dependent variables, and models that focus on job loss due to establishment closure to minimize confounding, we find negative effects of unemployment on health and wellbeing. However, in periods when UI was most generous or in cases where UI fully replaced pre-job loss wages, unemployed workers who received UI were no worse off than those who remained employed. Although UI protected against worsening health, receiving generous UI benefits did not confer a health advantage relative to working at the height of the pandemic., (Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.)

Discrete-time multistate life tables are attractive because they are easier to understand and apply in comparison with their continuous-time counterparts. While such models are based on a discrete time grid, it is often useful to calculate derived magnitudes (e.g. state occupation times), under assumptions which posit that transitions take place at other times, such as mid-period. Unfortunately, currently available models allow very few choices about transition timing. We propose the use of Markov chains with rewards as a general way of incorporating information on the timing of transitions into the model. We illustrate the usefulness of rewards-based multistate life tables by estimating working life expectancies using different retirement transition timings. We also demonstrate that for the single-state case, the rewards approach matches traditional life-table methods exactly. Finally, we provide code to replicate all results from the paper plus R and Stata packages for general use of the method proposed.

Measuring responses in the proteome to various perturbations improves our understanding of biological systems. The value of information gained from such studies is directly proportional to the number of proteins measured. To overcome technical challenges associated with highly multiplexed measurements, we developed an affinity reagent-based method that uses aptamers with protein-like side chains along with an assay that takes advantage of their unique properties. As hybrid affinity reagents, modified aptamers are fully comparable to antibodies in terms of binding characteristics toward proteins, including epitope size, shape complementarity, affinity and specificity. Our assay combines these intrinsic binding properties with serial kinetic proofreading steps to allow highly effective partitioning of stable specific complexes from unstable nonspecific complexes. The use of these orthogonal methods to enhance specificity effectively overcomes the severe limitation to multiplexing inherent to the use of sandwich-based methods. Our assay currently measures half of the unique proteins encoded in the human genome with femtomolar sensitivity, broad dynamic range and exceptionally high reproducibility. Using machine learning to identify patterns of change, we have developed tests based on measurement of multiple proteins predictive of current health states and future disease risk to guide a holistic approach to precision medicine.

Objective: Burnout syndrome impacts one of two neurosurgeons and negatively impacts both the individual and institution. The impact of burnout on neurosurgeons may have increased due to the SARS-COV-2 pandemic. Characteristics of burnout may differ among neurosurgeons and non-neurosurgeon physicians, and this may better target wellness initiatives designed to alleviate burnout., Methods: Validated burnout inventories (Maslach Burnout Inventory; MBI) were provided to physicians, including neurosurgeons, at a single, large academic institution. Rates of burnout and specific characteristics of burnout were compared. Free-response answers describing specific characteristics of burnout were also collected for neurosurgeons., Results: A total of 294 physicians responded to the survey, including 40 neurosurgeons. The rate of burnout between neurosurgeons and non-neurosurgeons did not differ (39% vs 34%; p=0.631), but there were notable differences in the characteristics of burnout. Neurosurgery respondents were more likely to report depersonalization (p<0.001), and an additional 42.5% of neurosurgeon respondents reported a "period of hardship," which may lead to subsequent burnout. Neurosurgeons also more frequently reported higher feelings of personal accomplishment (p<0.001). Targeted wellness interventions specific to neurosurgeons may alleviate and prevent burnout., Conclusions: We show that although the rate of burnout does not differ for neurosurgeons, the characteristics of burnout may. This may represent the key to providing specialty-specific targeted interventions to alleviate burnout. Further, there is a significant proportion of neurosurgeons at risk for subsequent burnout for which additional importance must be placed to prevent progression to burnout., (Copyright © 2024. Published by Elsevier Inc.)

Background: ChatGPT is a natural language processing chatbot with a significant prevalence in modern media with a clear application in the medical triage workflow. ChatGPT has shown significant capacity for understanding clinical vignettes, radiology reports, and even passing the American Board of Neurological Surgery board examination. There has never been an evaluation of the chatbot in triage and diagnosing spinal vignettes common to primary and urgent care practice., Methods: Fifteen clinical scenarios were created to mimic spinal complaints common to primary and urgent care scenarios. GPT-4 was instructed to assess the situation as if it was in a primary care office and determine diagnosis, imaging recommendations, and if emergency room (ER) or operative referral was necessary. Answers were recorded and the results compared to those of attending and resident respondents., Results: GPT-4 provided the most likely diagnosis in each scenario. Additionally, it recommended reasonable clinical management of each scenario which would fall within standard practice guidelines. ChatGPT tended toward over-referral to the ER; however, this was not significant. GPT-4 was noninferior in all categories when compared to respondents., Conclusions: ChatGPT is a powerful tool for primary triage of spinal issues. It can rapidly and accurately evaluate clinical scenarios and provide clear diagnostic reasoning. GPT-4 is not designed for medical use and will provide a disclaimer as such. It did tend toward over-referring patients to the ER. With specific training, it is likely that artificial intelligence and natural language processing chatbots will become widely used in primary triage of spinal issues., (Copyright © 2024 Elsevier Inc. All rights reserved.)

This dataset consists of 64-channels resting-state EEG recordings of 608 participants aged between 20 and 70 years, 61.8% female, as well as follow-up measurements after approximately 5 years of 208 participants, starting 2021. The EEG was measured for three minutes with eyes open and eyes closed before and after a 2-hour block of cognitive experimental tasks. The data set is part of the Dortmund Vital Study, a prospective study on the determinants of healthy cognitive aging. The dataset can be used for (1) analyzing cross-sectional resting-state EEG of healthy individuals across the adult life span; (2) generating normalization data sets for comparison of resting-state EEG data of patients with clinically relevant disorders; (3) studying effects of performing cognitive tasks on resting-state EEG and age; (4) exploring intra-individual changes in resting-state EEG and effects of task performance over a time period of about 5 years. The data are provided in Brain Imaging Data Structure (BIDS) format and are available on OpenNeuro., (© 2024. The Author(s).)

Goal-directed memory reactivation involves retrieving the most relevant information for the current behavioral goal. Previous research has linked this process to activations in the fronto-parietal network, but the underlying neurocognitive mechanism remains poorly understood. The current electroencephalogram (EEG) study explores attentional selection as a possible mechanism supporting goal-directed retrieval. We designed a long-term memory experiment containing three phases. First, participants learned associations between objects and two screen locations. In a following phase, we changed the relevance of some locations (selective cue condition) to simulate goal-directed retrieval. We also introduced a control condition, in which the original associations remained unchanged (neutral cue condition). Behavior performance measured during the final retrieval phase revealed faster and more confident responses in the selective vs. neutral condition. At the EEG level, we found significant differences in decoding accuracy, with above-chance effects in the selective cue condition but not in the neutral cue condition. Additionally, we observed a stronger posterior contralateral negativity and lateralized alpha power in the selective cue condition. Overall, these results suggest that attentional selection enhances task-relevant information accessibility, emphasizing its role in goal-directed memory retrieval., (© 2024. The Author(s).)

In some situations, for example, when we expect to gain a reward in case of good performance, goal-driven top-down attention is particularly strong. Little is known about the task specificity of such increases of top-down attention due to environmental factors. To understand to what extent performance-contingent reward prospects can result in specific and unspecific changes in cognitive processing, we here investigate reward effects under different levels of task specification. Thirty-two participants performed a visual or an auditory discrimination task cued by two consecutive visual stimuli: First, a reward cue indicated if good performance was rewarded. Second, a task cue announced either which of the two tasks would follow (precise cue) or that both tasks would follow equally likely (imprecise cue). Reward and task cue preciseness both significantly improved performance. Moreover, the response time difference between precisely and imprecisely cued trials was significantly stronger in rewarded than in unrewarded trials. These effects were reflected in event-related potential (ERP) slow wave amplitudes: Reward and preciseness both significantly enhanced the contingent negative variation (CNV) prior to the task stimulus. In an early CNV time interval, both factors also showed an interaction. A negative slow wave prior to the task cue was also significantly enhanced for rewarded trials. This effect correlated with the reward difference in response times. These results indicate that reward prospects trigger task-specific changes in preparatory top-down attention which can flexibly adapt over time and across different task requirements. This highlights that a reward-induced increase of cognitive control can occur on different specificity levels., (© 2024 The Author(s). Psychophysiology published by Wiley Periodicals LLC on behalf of Society for Psychophysiological Research.)

Since the mid-1970s, there has been a sharp rise in the prevalence of "bad jobs" in the U.S. labor market, characterized by stagnant wages, unstable work schedules, and limited fringe benefits. Scholarly, policy, and public debate persists, however, about whether these jobs can serve as steppingstones to intra-generational job quality mobility or are instead "poverty traps." While scholarship increasingly recognizes the multi-dimensional nature of job quality, prior research on intra-generational job mobility overwhelmingly estimates only wage mobility and generally focuses on estimating the degree of mobility, to the exclusion of the contexts and mechanisms that foster such mobility. We draw on new panel data collected from 8600 hourly service sector workers between 2017 and 2022 to estimate short-run mobility into good jobs, defined as paying at least $15/hour, having a stable work schedule, and offering paid sick leave, employer-sponsored health insurance, and retirement benefits. Overall, we find that mobility into such "good jobs" is low. However, we show that the rate of transition into "good jobs" is strongly conditioned by local labor market conditions: during the "Great Resignation" and in low state-month unemployment periods, nearly twice the share of workers transitioned to "good jobs" as in less favorable contexts, particularly workers who changed sector as opposed to staying at the same firm or taking new jobs in the service sector. Notably, during periods of labor market tightness, workers who stayed at the same employer had similar rates of mobility into "good jobs" as those who changed employers within the sector., Competing Interests: The authors report no conflicts of interests., (© 2024 The Authors.)

Vertebral body enhancement is occasionally seen on postcontrast CT imaging in the absence of osseous pathology. This enhancement can mimic sclerotic osseous metastatic disease, leading to a diagnostic dilemma for radiologists and increasing the chance of misinterpretation. Existing literature has focused on the association between this enhancement and concomitant central venous system obstruction. We report a 61-year-old woman with a history of nasopharyngeal carcinoma presenting with an epidural abscess who exhibited vertebral body enhancement resembling sclerotic metastatic disease without imaging evidence of central venous obstruction or vertebral osseous metastatic disease. Awareness of this unique presentation may prevent the incorrect diagnostic errors and their associated negative effects on patients., (© 2024. The Author(s).)

(1) Background: Compared to medical personnel, SARS-CoV-2mRNA vaccination-related positive immunity rates, levels, and preservation over time in dialysis and kidney transplant patients are reduced. We hypothesized that COVID-19 pre-exposure influences both vaccination-dependent immunity development and preservation in a group-dependent manner. (2) Methods: We evaluated 2- and 9-month follow-up data in our observational Dia-Vacc study, exploring specific cellular (interferon-γ release assay = IGRA) and/or humoral immune responses (IgA/IgG/RBD antibodies) after two SARS-CoV-2mRNA vaccinations in 2630 participants, including medical personnel (301-MP), dialysis patients (1841-DP), and kidney transplant recipients (488-KTR). Study participants were also separated into COVID-19 pre-exposure (hybrid immunity) positive (n = 407) versus negative (n = 2223) groups. (3) Results: COVID-19 pre-exposure improved most vaccination-related positive immunity rates in KTR and DP at 2 months but not in MP, where rates reached almost 100% independent of hybrid immunity. In the COVID-19-negative study, patients' immunity faded between two and nine months, evaluated via the percentage of patients with an RBD antibody decrease >50%, and was markedly group- (MP-17.8%, DP-52.2%, and KTR-38.6%) and vaccine type-dependent. In contrast, in all patient groups with COVID-19, pre-exposure RBD antibody decreases of >50% were similarly rare (MP-4.3%, DP-7.2%, and KTR-0%) but still vaccine type-dependent, with numerically reduced numbers in mRNA-1273- versus BNT162b2mRNA-treated patients. Multivariable regression analysis of RBD antibody changes between two and nine months by interval scale categorization confirmed COVID-19 pre-exposure as a factor in inhibiting strong RBD Ab fading. COVID-19 pre-exposure in MP and DP also numerically reduced T-cell immunity fading. In DP, symptomatic (versus asymptomatic) COVID-19 pre-exposure was identified as a factor in reducing strong RBD Ab fading after vaccination. (4) Conclusions: After mRNA vaccination, immunity positivity rates in DP and KTR but not MP, as well as immunity preservation in MP/DP/KTR, are markedly improved via prior COVID-19 infection. In DP, prior symptomatic compared to asymptomatic COVID-19 disease was particularly effective in blocking immunity fading after mRNA vaccination.

Background: Refractory cardiogenic shock (CS) is associated with high mortality rates, and the use of venoarterial extracorporeal membrane oxygenation (VA-ECMO) as a therapeutic option has generated discussions. Therefore, its cost-effectiveness, especially in low- and middle-income countries like Brazil, remains uncertain.Objectives: To conduct a cost-utility analysis from the Brazilian Unified Health System perspective to assess the cost-effectiveness of VA-ECMO combined with standard care compared to standard care alone in adult refractory CS patients., Methods: We followed a cohort of refractory CS patients treated with VA-ECMO in tertiary care centers located in Southern Brazilian. We collected data on hospital outcomes and costs. We conducted a systematic review to supplement our data and utilized a Markov model to estimate incremental cost-effectiveness ratios (ICERs) per quality-adjusted life year (QALY) and per life-year gained., Results: In the base-case analysis, VA-ECMO yielded an ICER of Int$ 37,491 per QALY. Sensitivity analyses identified hospitalization cost, relative risk of survival, and VA-ECMO group survival as key drivers of results. Probabilistic sensitivity analysis favored VA-ECMO, with a 78% probability of cost-effectiveness at the recommended willingness-to-pay threshold., Conclusions: Our study suggests that, within the Brazilian Health System framework, VA-ECMO may be a cost-effective therapy for refractory CS. However, limited efficacy data and recent trials questioning its benefit in specific patient subsets highlight the need for further research. Rigorous clinical trials, encompassing diverse patient profiles, are essential to confirm cost-effectiveness and ensure equitable access to advanced medical interventions within healthcare systems, particularly in socio-economically diverse countries like Brazil.

Purpose: Gold-silica nanoshell therapy [AuroShells with subsequent focal laser therapy (AuroLase)] is an emerging targeted treatment modality for prostate cancer. We reviewed pre- and post-treatment unenhanced CT imaging to assess for retained gold-silica nanoshells in the abdomen and pelvis., Methods: This single-institution retrospective study identified patients in the AuroLase pilot who underwent pre- and post-treatment unenhanced abdominopelvic CT. The attenuation, before and after gold-silica nanoshell administration, of the liver, spleen, pancreas, kidneys, prostate, blood pool, paraspinal musculature, and abnormal lymph nodes were manually measured by two readers. After inter-reader agreement was calculated using intraclass correlation (ICC), a permutation test was used to assess pre- and post-therapy attenuation differences., Results: Four patients met the inclusion criteria. Mean age was 72.3 ± 5.9 years. Median time interval between pre-treatment CT and treatment, and between treatment and post-treatment CT, was 232 days and 236.5 days, respectively. The two readers' attenuation measurements had very high agreement (ICC = 0.99, p < 0.001). The highest differences in organ attenuation between pre- and post-therapy scans were seen in all four patients in the liver and spleen (liver increased by an average of 28.9 HU, p = 0.010; spleen increased by an average of 63.7 HU, p = 0.012). A single measured lymph node increased by an average of 58.9 HU. In the remainder of the measured sites, the change in attenuation from pre- to post-therapy scans ranged from -0.1 to 3.8 HU (p > 0.05)., Conclusion: Increased attenuation of liver and spleen at CT can be an expected finding in patients who have received gold-silica nanoshell therapy., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Introduction: The rapid development of artificial intelligence (AI) in healthcare has exposed the unmet need for growing a multidisciplinary workforce that can collaborate effectively in the learning health systems. Maximizing the synergy among multiple teams is critical for Collaborative AI in Healthcare., Methods: We have developed a series of data, tools, and educational resources for cultivating the next generation of multidisciplinary workforce for Collaborative AI in Healthcare. We built bulk-natural language processing pipelines to extract structured information from clinical notes and stored them in common data models. We developed multimodal AI/machine learning (ML) tools and tutorials to enrich the toolbox of the multidisciplinary workforce to analyze multimodal healthcare data. We have created a fertile ground to cross-pollinate clinicians and AI scientists and train the next generation of AI health workforce to collaborate effectively., Results: Our work has democratized access to unstructured health information, AI/ML tools and resources for healthcare, and collaborative education resources. From 2017 to 2022, this has enabled studies in multiple clinical specialties resulting in 68 peer-reviewed publications. In 2022, our cross-discipline efforts converged and institutionalized into the Center for Collaborative AI in Healthcare., Conclusions: Our Collaborative AI in Healthcare initiatives has created valuable educational and practical resources. They have enabled more clinicians, scientists, and hospital administrators to successfully apply AI methods in their daily research and practice, develop closer collaborations, and advanced the institution-level learning health system., Competing Interests: This work was supported by the grants from the National Institutes of Health (NIH) Yuan Luo, Kristi Holmes, Luke Rasmussen, Andrew Naidech, Lazaro Sanchez‐Pinto, Richard Wunderink, Jennifer Pacheco, Matthew Carson, Susan Clare. Kristi Holmes is a member of Learning Health Systems Editorial Board. Donald Lloyd‐Jones serves as a board member of the American Heart Association. Michael Markl receives grant support by Siemens and Circle Cardiovascular Imaging; co‐founder and co‐owner of Third Coast Dynamics. Susanna McColley reports grants from the NIH National Center for Advancing Translational Science, the Centers for Disease Control and Prevention, the Cystic Fibrosis Foundation, and the Rosenau Family Research Foundation. She receives compensation as an advisor to Vertex Pharmaceuticals, Inc. Huiping Liu is the scientific co‐founder of ExoMira Medicine. Justin Starren reports grants from the NIH and Greenwall Foundation. Theresa Walunas receives research funding from Gilead Sciences. Kelly Michelson reports grants from the NIH, Greenwall Foundation, and the Patient‐Centered Outcomes Research Institute. Richard D’Aquila reports grants from the NIH, serving on external advisory boards for NIH‐funded projects, serving on the NIAID AIDS Research Advisory Council, and serving on the editorial board of the Journal of Clinical Investigation. Abel Kho is an advisor to Datavant. Sanjiv Shah is supported by grants from the NIH and AHA. Lee Cooper reports grants from the NIH and has invention disclosures registered at the Northwestern Office of Innovation and New Ventures, consults for Tempus, and advises Veracyte and Targeted Bioscience. Feng Yue is supported by grants from NIH and is a co‐founder of Sariant Therapeutics, Inc. Deyu Fang is co‐founder of ExoMira Medicine. Ronald Ackermann is supported by grants from the NIH, CDC, and the UnitedHealth Group., (© 2024 The Authors. Learning Health Systems published by Wiley Periodicals LLC on behalf of University of Michigan.)

Dealing with task interruptions requires the flexible use of working memory and attentional control mechanisms, which are prone to age-related changes. We investigated effects of age on dealing with task interruptions and potential advantages of anticipating an interruption using EEG and a retrospective cueing (retro-cue) paradigm. Thirty-two young (18-30 years) and 28 older (55-70 years) participants performed a visual working memory task, where they had to report the orientation of a target following a retro-cue. Within blocks of 10 trials, they were always, never, or randomly interrupted with an arithmetic task before the onset of the retro-cue. The interruption-induced decline in primary task performance was more pronounced in older participants, while only these benefited from anticipation. The EEG analysis revealed reduced theta and alpha/beta response to the retro-cue following interruptions, especially for the older participants. In both groups, anticipated interruptions were associated with increased theta and alpha/beta power prior and during the interruption, and stronger beta suppression to the retro-cue. The results indicate that interruptions impede the refocusing of attention on the task-relevant representation of the primary task, especially in older people, while anticipation facilitates preparation for the interruption task and resumption of the primary task., (© 2024. The Author(s).)

Zinc is an essential nutrient-it is stored during periods of excess to promote detoxification and released during periods of deficiency to sustain function. Lysosome-related organelles (LROs) are an evolutionarily conserved site of zinc storage, but mechanisms that control the directional zinc flow necessary for homeostasis are not well understood. In Caenorhabditis elegans intestinal cells, the CDF-2 transporter stores zinc in LROs during excess. Here, we identify ZIPT-2.3 as the transporter that releases zinc during deficiency; ZIPT-2.3 transports zinc, localizes to the membrane of LROs in intestinal cells, and is necessary for zinc release from LROs and survival during zinc deficiency. In zinc excess and deficiency, the expression levels of CDF-2 and ZIPT-2.3 are reciprocally regulated at the level of mRNA and protein, establishing a fundamental mechanism for directional flow to promote homeostasis. To elucidate how the ratio of CDF-2 and ZIPT-2.3 is altered, we used super-resolution microscopy to demonstrate that LROs are composed of a spherical acidified compartment and a hemispherical expansion compartment. The expansion compartment increases in volume during zinc excess and deficiency. These results identify the expansion compartment as an unexpected structural feature of LROs that facilitates rapid transitions in the composition of zinc transporters to mediate homeostasis, likely minimizing the disturbance to the acidified compartment., Competing Interests: Competing interests statement:The authors declare no competing interest.

The renin-angiotensin-aldosterone system (RAAS) plays a well-characterized role regulating blood pressure in mammals. Pharmacological and genetic manipulation of the RAAS has been shown to extend lifespan in Caenorhabditis elegans, Drosophila and rodents, but its mechanism is not well defined. Here, we investigate the angiotensin-converting enzyme (ACE) inhibitor drug captopril, which extends lifespan in worms and mice. To investigate the mechanism, we performed a forward genetic screen for captopril-hypersensitive mutants. We identified a missense mutation that causes a partial loss of function of the daf-2 receptor tyrosine kinase gene, a powerful regulator of aging. The homologous mutation in the human insulin receptor causes Donohue syndrome, establishing these mutant worms as an invertebrate model of this disease. Captopril functions in C. elegans by inhibiting ACN-1, the worm homolog of ACE. Reducing the activity of acn-1 via captopril or RNA interference promoted dauer larvae formation, suggesting that acn-1 is a daf gene. Captopril-mediated lifespan extension was abrogated by daf-16(lf) and daf-12(lf) mutations. Our results indicate that captopril and acn-1 influence lifespan by modulating dauer formation pathways. We speculate that this represents a conserved mechanism of lifespan control., Competing Interests: Competing interests The authors declare no competing or financial interests., (© 2024. Published by The Company of Biologists Ltd.)

Background: SARS-CoV-2mRNA vaccination related seroconversion rates are reduced in dialysis and kidney transplant patients., Methods: We evaluated nine months follow up data in our observational Dia-Vacc study exploring specific cellular (interferon-γ release assay) or/and humoral immune responses after 2x SARS-CoV-2mRNA vaccination in 880 participants including healthy medical personnel (125-MP), dialysis patients (595-DP), kidney transplant recipients (111-KTR), and apheresis patients (49-AP) with positive seroconversion (de novo IgA or IgG antibody positivity by ELISA) after eight weeks., Findings: Nine months after first vaccination, receptor binding domain (RBD) antibodies were still positive in 90 % of MP, 86 % of AP, but only 55 %/48 % of DP/KTR, respectively. Seroconversion remained positive in 100 % of AP and 99·2 % of MP, but 86 %/81 % of DP/KTR, respectively. Compared to MP, DP but not KTR or AP were at risk for a strong RBD decline, while KTR kept lowest RBD values over time. By multivariate analysis, BNT162b2mRNA versus 1273-mRNA vaccine type was an independent risk factor for a strong decline of RBD antibodies. Within the DP group, only time on dialysis was another (inverse) risk factor for the DP group. Compared to humoral immunity, T-cell immunity decline was less prominent., Interpretation: While seroconverted KTR reach lowest RBD values over time, DP are at specific risk for a strong decline of RBD antibodies after successful SARS-CoV-2mRNA vaccination, which also depends on the vaccine type being used. Therefore, booster vaccinations for DP should be considered earlier compared to normal population., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023. Published by Elsevier Ltd.)

Ecosystem functions and services are severely threatened by unprecedented global loss in biodiversity. To counteract these trends, it is essential to develop systems to monitor changes in biodiversity for planning, evaluating, and implementing conservation and mitigation actions. However, the implementation of monitoring systems suffers from a trade-off between grain (i.e., the level of detail), extent (i.e., the number of study sites), and temporal repetition. Here, we present an applied and realized networked sensor system for integrated biodiversity monitoring in the Nature 4.0 project as a solution to these challenges, which considers plants and animals not only as targets of investigation, but also as parts of the modular sensor network by carrying sensors. Our networked sensor system consists of three main closely interlinked components with a modular structure: sensors, data transmission, and data storage, which are integrated into pipelines for automated biodiversity monitoring. We present our own real-world examples of applications, share our experiences in operating them, and provide our collected open data. Our flexible, low-cost, and open-source solutions can be applied for monitoring individual and multiple terrestrial plants and animals as well as their interactions. Ultimately, our system can also be applied to area-wide ecosystem mapping tasks, thereby providing an exemplary cost-efficient and powerful solution for biodiversity monitoring. Building upon our experiences in the Nature 4.0 project, we identified ten key challenges that need to be addressed to better understand and counteract the ongoing loss of biodiversity using networked sensor systems. To tackle these challenges, interdisciplinary collaboration, additional research, and practical solutions are necessary to enhance the capability and applicability of networked sensor systems for researchers and practitioners, ultimately further helping to ensure the sustainable management of ecosystems and the provision of ecosystem services., (© 2023 The Authors. Global Change Biology published by John Wiley & Sons Ltd.)

Objectives: To present software for automated adipose tissue quantification of abdominal magnetic resonance imaging (MRI) data using fully convolutional networks (FCN) and to evaluate its overall performance-accuracy, reliability, processing effort, and time-in comparison with an interactive reference method., Materials and Methods: Single-center data of patients with obesity were analyzed retrospectively with institutional review board approval. Ground truth for subcutaneous (SAT) and visceral adipose tissue (VAT) segmentation was provided by semiautomated region-of-interest (ROI) histogram thresholding of 331 full abdominal image series. Automated analyses were implemented using UNet-based FCN architectures and data augmentation techniques. Cross-validation was performed on hold-out data using standard similarity and error measures., Results: The FCN models reached Dice coefficients of up to 0.954 for SAT and 0.889 for VAT segmentation during cross-validation. Volumetric SAT (VAT) assessment resulted in a Pearson correlation coefficient of 0.999 (0.997), relative bias of 0.7% (0.8%), and standard deviation of 1.2% (3.1%). Intraclass correlation (coefficient of variation) within the same cohort was 0.999 (1.4%) for SAT and 0.996 (3.1%) for VAT., Conclusion: The presented methods for automated adipose-tissue quantification showed substantial improvements over common semiautomated approaches (no reader dependence, less effort) and thus provide a promising option for adipose tissue quantification., Clinical Relevance Statement: Deep learning techniques will likely enable image-based body composition analyses on a routine basis. The presented fully convolutional network models are well suited for full abdominopelvic adipose tissue quantification in patients with obesity., Key Points: • This work compared the performance of different deep-learning approaches for adipose tissue quantification in patients with obesity. • Supervised deep learning-based methods using fully convolutional networks  were suited best. • Measures of accuracy were equal to or better than the operator-driven approach., (© 2023. The Author(s).)

Unequal sorting of men and women into higher and lower wage firms contributes significantly to the gender wage gap according to recent analysis of national labor markets. We confirm the importance of this between-firm gender segregation in wages and examine a second outcome of hours using unique employer-employee data from the service sector. We then examine what explains the relationship between firm gender composition and wages. In contrast to prevailing economic explanations that trace between-firm differences in wages to differences in firm surplus, we find evidence consistent with devaluation and potentially a gender-specific use of "low road" employment strategies.

Background: Access to paid family and medical leave (PFML), including leave to care for a seriously ill loved one or recover from one's own serious illness, conveys health and economic benefits for workers and their families. However, without a national PFML policy, access to paid leave remains limited and unequal. Previous work documenting inequitable access by socioeconomic status and race/ethnicity primarily focuses on parental leave, measures theoretical access to paid leave rather than actual leave uptake, and lacks an accounting for why workers of color and women may have less access to PFML. We extend this literature by looking at leave-taking for medical needs or caregiving among a high-risk population during the COVID-19 pandemic., Methods: We draw on data from 2595 service-sector workers surveyed by the Shift Project in 2020 and 2021 to estimate inequities in leave uptake among workers who experienced qualifying events. We then estimate the relative importance of worker demographic characteristics, qualifying event types (medical vs. caregiving leave), proxies for access to state and employer PFML policies, job characteristics, and ultimately within-firm differences to these gaps., Results: Overall, one-fifth of workers reported sufficient leave. Women are significantly more likely than men to report insufficient or no leave. Hispanic and Black workers are more likely to take insufficient or no leave, respectively, but these differences were attenuated when controlling for covariates., Conclusions: The dearth of PFML laws leaves women and workers of color without access to leave that is paid and of sufficient duration when facing a qualifying event., (© 2023 The Authors. American Journal of Industrial Medicine published by Wiley Periodicals LLC.)

Stevens-Johnson Syndrome/Toxic Epidermal Necrolysis (SJS/TEN) is a predominantly drug-induced disease, with a mortality rate of 15-20%, that engages the expertise of multiple disciplines: dermatology, allergy, immunology, clinical pharmacology, burn surgery, ophthalmology, urogynecology, and psychiatry. SJS/TEN has an incidence of 1-5/million persons per year in the United States, with even higher rates globally. One of the challenges of SJS/TEN has been developing the research infrastructure and coordination to answer questions capable of transforming clinical care and leading to improved patient outcomes. SJS/TEN 2021, the third research meeting of its kind, was held as a virtual meeting on August 28-29, 2021. The meeting brought together 428 international scientists, in addition to a community of 140 SJS/TEN survivors and family members. The goal of the meeting was to brainstorm strategies to support the continued growth of an international SJS/TEN research network, bridging science and the community. The community workshop section of the meeting focused on eight primary themes: mental health, eye care, SJS/TEN in children, non-drug induced SJS/TEN, long-term health complications, new advances in mechanisms and basic science, managing long-term scarring, considerations for skin of color, and COVID-19 vaccines. The meeting featured several important updates and identified areas of unmet research and clinical need that will be highlighted in this white paper., Competing Interests: KM was employed by Stevens-Johnson Syndrome Foundation. EJP reports grants from National Institutes of Health (R01HG010863, R01AI152183, U01AI154659) and from the National Health and Medical Research Council of Australia. She receives Royalties and consulting fees from UpToDate and has received consulting fees from Janssen, Verve, Biocryst, Regeneron, AstraZeneca and Novavax. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The reviewer OI declared a shared affiliation with the author AS to the handling editor at the time of review., (Copyright © 2023 Marks, Botta, Abe, Beachkofsky, Boothman, Carleton, Chung, Cibotti, Dodiuk-Gad, Grimstein, Hasegawa, Hoofnagle, Hung, Kaffenberger, Kroshinsky, Lehloenya, Martin-Pozo, Micheletti, Mockenhaupt, Nagao, Pakala, Palubinsky, Pasieka, Peter, Pirmohamed, Reyes, Saeed, Shupp, Sukasem, Syu, Ueta, Zhou, Chang, Becker, Bellon, Bonnet, Cavalleri, Chodosh, Dewan, Dominguez, Dong, Ezhkova, Fuchs, Goldman, Himed, Mallal, Markova, McCawley, Norton, Ostrov, Phan, Sanford, Schlundt, Schneider, Shear, Shinkai, Tkaczyk, Trubiano, Volpi, Bouchard, Divito and Phillips.)

Contrast-induced nephropathy (CIN) is an important complication of percutaneous coronary intervention (PCI). We investigated whether left ventricular end-diastolic pressure (LVEDP) in patients who underwent PCI might be additive to current risk stratification of CIN. Data from consecutive patients who underwent primary PCI for ST-elevation myocardial infarction between 2013 and 2018 at Western Health in Victoria, Australia were analyzed. CIN was defined as a 25% increase in serum creatinine from baseline or 44 µmol/L increase in absolute value within 48 hours of contrast administration. Compared with patients without CIN (n = 455, 93%), those who developed CIN (n = 35, 7%) were older (64 vs 58 years, p = 0.006), and had higher peak creatine kinase (2,862 [1,258 to 3,952] vs 1,341 U/L [641 to 2,613], p = 0.02). The CIN group had higher median LVEDP (30 [21-33] vs 25 mm Hg [20-30], p = 0.013) and higher median Mehran risk score (MRS) (5 [2-8] vs 2 [1-5], p <0.001). Patients with CIN had more in-hospital major adverse cardiovascular and cerebrovascular events (composite end point of death, new or recurrent myocardial infarction or stent thrombosis, target vessel revascularization or stroke) (23% vs 8.6%, p = 0.01), but similar 30-day major adverse cardiovascular and cerebrovascular events (20% vs 15%, p = 0.46). An LVEDP >30 mm Hg independently predicted CIN (odds ratio 3.4, 95% confidence interval 1.46 to 8.03, p = 0.005). The addition of LVEDP ≥30 mm Hg to MRS marginally improved risk prediction for CIN compared with MRS alone (area-under-curve, c-statistic = 0.71 vs c-statistic = 0.63, p = 0.08). In conclusion, elevated LVEDP ≥30 mm Hg during primary PCI was an independent predictor of CIN in patients treated for ST-elevation myocardial infarction. The addition of LVEDP to the MRS may improve risk prediction for CIN., Competing Interests: Declaration of Competing Interest The authors have no conflicts of interest to declare., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Demographic change is leading to an increasing proportion of older employees in the labor market. At the same time, work activities are becoming more and more complex and require a high degree of flexibility, adaptability, and cognitive performance. Cognitive control mechanism, which is subject to age-related changes and is important in numerous everyday and work activities, plays a special role. Executive functions with its core functions updating, shifting, and inhibition comprises cognitive control mechanisms that serve to plan, coordinate, and achieve higher-level goals especially in inexperienced and conflicting actions. In this review, influences of age-related changes in cognitive control are demonstrated with reference to work and real-life activities, in which the selection of an information or response in the presence of competing but task-irrelevant stimuli or responses is particularly required. These activities comprise the understanding of spoken language under difficult listening conditions, dual-task walking, car driving in critical traffic situations, and coping with work interruptions. Mechanisms for compensating age-related limitations in cognitive control and their neurophysiological correlates are discussed with a focus on EEG measures. The examples illustrate how to access influences of age and cognitive control on and in everyday and work activities, focusing on its functional role for the work ability and well-being of older people., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Getzmann, Reiser, Gajewski, Schneider, Karthaus and Wascher.)

Early detection of cancer is vital for the best chance of successful treatment, but half of all cancers are diagnosed at an advanced stage. A simple and reliable blood screening test applied routinely would therefore address a major unmet medical need. To gain insight into the value of protein biomarkers in early detection and stratification of cancer we determined the time course of changes in the plasma proteome of mice carrying transplanted human lung, breast, colon, or ovarian tumors. For protein measurements we used an aptamer-based assay which simultaneously measures ~ 5000 proteins. Along with tumor lineage-specific biomarkers, we also found 15 markers shared among all cancer types that included the energy metabolism enzymes glyceraldehyde-3-phosphate dehydrogenase, glucose-6-phophate isomerase and dihydrolipoyl dehydrogenase as well as several important biomarkers for maintaining protein, lipid, nucleotide, or carbohydrate balance such as tryptophanyl t-RNA synthetase and nucleoside diphosphate kinase. Using significantly altered proteins in the tumor bearing mice, we developed models to stratify tumor types and to estimate the minimum detectable tumor volume. Finally, we identified significantly enriched common and unique biological pathways among the eight tumor cell lines tested., (© 2023. The Author(s).)

BACKGROUNDDespite guidelines promoting the prevention and aggressive treatment of ventilator-associated pneumonia (VAP), the importance of VAP as a driver of outcomes in mechanically ventilated patients, including patients with severe COVID-19, remains unclear. We aimed to determine the contribution of unsuccessful treatment of VAP to mortality for patients with severe pneumonia.METHODSWe performed a single-center, prospective cohort study of 585 mechanically ventilated patients with severe pneumonia and respiratory failure, 190 of whom had COVID-19, who underwent at least 1 bronchoalveolar lavage. A panel of intensive care unit (ICU) physicians adjudicated the pneumonia episodes and endpoints on the basis of clinical and microbiological data. Given the relatively long ICU length of stay (LOS) among patients with COVID-19, we developed a machine-learning approach called CarpeDiem, which grouped similar ICU patient-days into clinical states based on electronic health record data.RESULTSCarpeDiem revealed that the long ICU LOS among patients with COVID-19 was attributable to long stays in clinical states characterized primarily by respiratory failure. While VAP was not associated with mortality overall, the mortality rate was higher for patients with 1 episode of unsuccessfully treated VAP compared with those with successfully treated VAP (76.4% versus 17.6%, P < 0.001). For all patients, including those with COVID-19, CarpeDiem demonstrated that unresolving VAP was associated with a transitions to clinical states associated with higher mortality.CONCLUSIONSUnsuccessful treatment of VAP is associated with higher mortality. The relatively long LOS for patients with COVID-19 was primarily due to prolonged respiratory failure, placing them at higher risk of VAP.FUNDINGNational Institute of Allergy and Infectious Diseases (NIAID), NIH grant U19AI135964; National Heart, Lung, and Blood Institute (NHLBI), NIH grants R01HL147575, R01HL149883, R01HL153122, R01HL153312, R01HL154686, R01HL158139, P01HL071643, and P01HL154998; National Heart, Lung, and Blood Institute (NHLBI), NIH training grants T32HL076139 and F32HL162377; National Institute on Aging (NIA), NIH grants K99AG068544, R21AG075423, and P01AG049665; National Library of Medicine (NLM), NIH grant R01LM013337; National Center for Advancing Translational Sciences (NCATS), NIH grant U01TR003528; Veterans Affairs grant I01CX001777; Chicago Biomedical Consortium grant; Northwestern University Dixon Translational Science Award; Simpson Querrey Lung Institute for Translational Science (SQLIFTS); Canning Thoracic Institute of Northwestern Medicine.

Speech comprehension under dynamic cocktail party conditions requires auditory search for relevant speech content and focusing spatial attention on the target talker. Here, we investigated the development of these cognitive processes in a population of 329 participants aged 20-70 years. We used a multi-talker speech detection and perception task in which pairs of words (each consisting of a cue and a target word) were simultaneously presented from lateralized positions. Participants attended to predefined cue words and responded to the corresponding target. Task difficulty was varied by presenting cue and target stimuli at different intensity levels. Decline in performance was observed only in the oldest group (age range 53-70 years) and only in the most difficult condition. The EEG analysis of neurocognitive correlates of lateralized auditory attention and stimulus evaluation (N2ac, LPCpc, alpha power lateralization) revealed age-associated changes in focussing on and processing of task-relevant information, while no such deficits were found on early auditory search and target segregation. Irrespective of age, more challenging listening conditions were associated with an increased allocation of attentional resources., Competing Interests: Disclosure statement All authors disclose no actual or potential conflicts of interest including any financial, personal, or other relationships with other people or organizations that could inappropriately influence (bias) their work., (Copyright © 2023 Elsevier Inc. All rights reserved.)

New possibilities in personalized medicine need to be complemented by clinical decision support systems as well as context-specific applications to be used in clinical routine. We aim to implement a shared technical backend for a large variety of applications in personalized head-and-neck cancer treatment. The infrastructure is conceptualized as a multi-purpose digital twin for cancer treatment. A set of prototypes of clinical applications demonstrates the feasibility of using digital twins to support multiple stages of the patient journey.

Theories of attention argue that objects are the units of attentional selection. In real-word environments such objects can contain visual and auditory features. To understand how mechanisms of selective attention operate in multisensory environments, in this pre-registered study, we created an audiovisual cocktail-party situation, in which two speakers (left and right of fixation) simultaneously articulated brief numerals. In three separate blocks, informative auditory speech was presented (a) alone or paired with (b) congruent or (c) uninformative visual speech. In all blocks, subjects localized a pre-defined numeral. While audiovisual-congruent and uninformative speech improved response times and speed of information uptake according to diffusion modeling, an ERP analysis revealed that this did not coincide with enhanced attentional engagement. Yet, consistent with object-based attentional selection, the deployment of auditory spatial attention (N2ac) was accompanied by visuo-spatial attentional orienting (N2pc) irrespective of the informational content of visual speech. Notably, an N2pc component was absent in the auditory-only condition, demonstrating that a sound-induced shift of visuo-spatial attention relies on the availability of audio-visual features evolving coherently in time. Additional exploratory analyses revealed cross-modal interactions in working memory and modulations of cognitive control., (Copyright © 2023. Published by Elsevier Inc.)

Objective: Electronic health record (EHR) data are a valuable resource for population health research but lack critical information such as relationships between individuals. Emergency contacts in EHRs can be used to link family members, creating a population that is more representative of a community than traditional family cohorts., Materials and Methods: We revised a published algorithm: relationship inference from the electronic health record (RIFTEHR). Our version, Pythonic RIFTEHR (P-RIFTEHR), identifies a patient's emergency contacts, matches them to existing patients (when available) using network graphs, checks for conflicts, and infers new relationships. P-RIFTEHR was run on December 15, 2021 in the Northwestern Medicine Electronic Data Warehouse (NMEDW) on approximately 2.95 million individuals and was validated using the existing link between children born at NM hospitals and their mothers. As proof-of-concept, we modeled the association between parent and child obesity using logistic regression., Results: The P-RIFTEHR algorithm matched 1 157 454 individuals in 448 278 families. The median family size was 2, the largest was 32 persons, and 247 families spanned 4 generations or more. Validation of the mother-child pairs resulted in 95.1% sensitivity. Children were 2 times more likely to be obese if a parent is obese (OR: 2.30; 95% CI, 2.23-2.37)., Conclusion: P-RIFTEHR can identify familiar relationships in a large, diverse population in an integrated health system. Estimates of parent-child inheritability of obesity using family structures identified by the algorithm were consistent with previously published estimates from traditional cohort studies., (© The Author(s) 2023. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Objective: To investigate whether family participation in intensive care unit interdisciplinary bedside rounds affects family satisfaction., Methods: A cross-sectional study was conducted at a 56-bed, adult, mixed intensive care unit of a tertiary hospital in Southern Brazil. From May to June 2019, family members of patients who stayed in the intensive care unit for at least 48 hours were invited to participate in the study at the time of patient discharge. The main exposure variable was participation in intensive care unit bedside rounds during the intensive care unit stay. Family satisfaction was assessed by using the Brazilian version of the Family Satisfaction in the Intensive Care Unit questionnaire., Results: Of the 234 screened individuals, 118 were included. Eleven participants withdrew consent. A total of 107 individuals were assessed; 58 (54%) reported being present during bedside rounds, and 49 (46%) reported never being present. General satisfaction and satisfaction with the decision-making process were higher among families who were present during rounds than among families who were not (p = 0.01 and p = 0.007, respectively)., Conclusion: The presence during interdisciplinary rounds was associated with improved general satisfaction and satisfaction with the decision-making aspect. This outcome indicates that efforts must be directed to conduct studies with more robust methodologies to confirm this association.

Since its discovery, COVID-19 has rapidly spread across the globe and has had a massive toll on human health, with infection mortality rates as high as 10%, and a crippling impact on the world economy. Despite numerous advances, there remains an urgent need for accurate and rapid point-of-care diagnostic tests and better therapeutic treatment options. To contribute chemically distinct, non-protein-based affinity reagents, we report here the identification of modified DNA-based aptamers that selectively bind to the S1, S2, or receptor-binding domain of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike protein. Several aptamers inhibit the binding of the spike protein to its cell-surface receptor angiotensin-converting enzyme 2 (ACE2) and neutralize authentic SARS-CoV-2 virus in vitro , including all variants of concern. With a high degree of nuclease resistance imparted by the base modifications, these reagents represent a new class of molecules with potential for further development as diagnostics or therapeutics., Competing Interests: A.D.G., C.Z., B.E.R., C.N.C, M.R.O., D.J.S., and N,J, are employees and shareholders of SomaLogic, Inc., (© 2023 The Authors.)

The COVID-19 pandemic dramatically reshaped the labor market, especially for service sector workers. Frontline service sector workers, already coping with precarious working conditions, faced proximate risks of COVID-19 transmission on the job and navigated new workplace safety measures, including masking, social distancing, and staying home while sick, all in a polarized political environment. We examine polarization in the effects of COVID-19 workplace safety measures on workers' feelings of safety and well-being. Specifically, we examine how support for former President Trump moderates the relationship between COVID-19 safety practices (masking, social distancing, staying home while sick) and workers' feelings of safety and well-being. To do so, we draw on novel data collected by The Shift Project from 2,039 service sector workers at 89 large firms during the COVID-19 pandemic. We find that workplace safety measures are positively associated with workers' self-assessments of feeling safe and with mental health, but only for Biden voters., Competing Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article., (© The Author(s) 2022.)

Objective: We demonstrate and discuss the use of mobile electroencephalogram (EEG) for neuroergonomics. Both technical state of the art as well as measures and cognitive concepts are systematically addressed., Background: Modern work is increasingly characterized by information processing. Therefore, the examination of mental states, mental load, or cognitive processing during work is becoming increasingly important for ergonomics., Results: Mobile EEG allows to measure mental states and processes under real live conditions. It can be used for various research questions in cognitive neuroergonomics. Besides measures in the frequency domain that have a long tradition in the investigation of mental fatigue, task load, and task engagement, new approaches-like blink-evoked potentials-render event-related analyses of the EEG possible also during unrestricted behavior., Conclusion: Mobile EEG has become a valuable tool for evaluating mental states and mental processes on a highly objective level during work. The main advantage of this technique is that working environments don't have to be changed while systematically measuring brain functions at work. Moreover, the workflow is unaffected by such neuroergonomic approaches.

Purpose: To assess the association between acute disease severity and 1-year quality of life in patients discharged after hospitalisation due to coronavirus disease 2019 (COVID-19)., Methods: We conducted a prospective cohort study nested in 5 randomised clinical trials between March 2020 and March 2022 at 84 sites in Brazil. Adult post-hospitalisation COVID-19 patients were followed for 1 year. The primary outcome was the utility score of EuroQol five-dimension three-level (EQ-5D-3L). Secondary outcomes included all-cause mortality, major cardiovascular events, and new disabilities in instrumental activities of daily living. Adjusted generalised estimating equations were used to assess the association between outcomes and acute disease severity according to the highest level on a modified ordinal scale during hospital stay (2: no oxygen therapy; 3: oxygen by mask or nasal prongs; 4: high-flow nasal cannula oxygen therapy or non-invasive ventilation; 5: mechanical ventilation)., Results: 1508 COVID-19 survivors were enrolled. Primary outcome data were available for 1156 participants. At 1 year, compared with severity score 2, severity score 5 was associated with lower EQ-5D-3L utility scores (0.7 vs 0.84; adjusted difference, - 0.1 [95% CI - 0.15 to - 0.06]); and worse results for all-cause mortality (7.9% vs 1.2%; adjusted difference, 7.1% [95% CI 2.5%-11.8%]), major cardiovascular events (5.6% vs 2.3%; adjusted difference, 2.6% [95% CI 0.6%-4.6%]), and new disabilities (40.4% vs 23.5%; adjusted difference, 15.5% [95% CI 8.5%-22.5]). Severity scores 3 and 4 did not differ consistently from score 2., Conclusions: COVID-19 patients who needed mechanical ventilation during hospitalisation have lower 1-year quality of life than COVID-19 patients who did not need mechanical ventilation during hospitalisation., (© 2022. Springer-Verlag GmbH Germany, part of Springer Nature.)

The design, fabrication, and characterization of wafer-scale, zero-bias power detectors based on 2D MoS 2 field-effect transistors (FETs) are demonstrated. The MoS 2 FETs are fabricated using a wafer-scale process on 8 μm-thick polyimide film, which, in principle, serves as a flexible substrate. The performances of two chemical vapor deposition MoS 2 sheets, grown with different processes and showing different thicknesses, are analyzed and compared from the single device fabrication and characterization steps to the circuit level. The power-detector prototypes exploit the nonlinearity of the transistors above the cut-off frequency of the devices. The proposed detectors are designed employing a transistor model based on measurement results. The fabricated circuits operate in the Ku-band between 12 and 18 GHz, with a demonstrated voltage responsivity of 45 V W -1 at 18 GHz in the case of monolayer MoS 2 and 104 V W -1 at 16 GHz in the case of multilayer MoS 2 , both achieved without applied DC bias. They are the best-performing power detectors fabricated on flexible substrate reported to date. The measured dynamic range exceeds 30 dB, outperforming other semiconductor technologies like silicon complementary metal-oxide-semiconductor circuits and GaAs Schottky diodes., (© 2022 The Authors. Advanced Materials published by Wiley-VCH GmbH.)

Background and Objectives: A substantial portion of the service sector workforce is middle-aged or older, but little is known about the scheduling conditions of these older workers. This study describes the quality of work schedules in the service sector by age and tests associations of unpredictable schedules with well-being and job retention among workers ages 50-80., Research Design and Methods: The Shift Project collected survey data on detailed working conditions and health from 121,408 service sector workers, recruited in 2017-2020 using social media advertisements. Survey weights aligned sample demographics with the American Community Survey, and multiple imputation addressed missingness. Ordinary least squares regression models were used to examine associations between age and schedule stability, and ordinary least squares, ordinal logit, and logit regression models tested associations between schedule stability and well-being and job retention outcomes for older workers., Results: Scheduling conditions were more stable and predictable for older compared to younger workers; however, more than 80% of workers ages 50-80 experienced one or more types of routine schedule instability. Among workers ages 50-80, unpredictable schedules were associated with psychological distress, poor-quality sleep, work-family conflict, economic insecurity, job dissatisfaction, and intentions to look for a new job. Canceled and back-to-back closing and opening ("clopening") shifts were most strongly associated with negative outcomes., Discussion and Implications: Policies aimed at improving scheduling conditions hold promise to benefit older service workers' well-being. As the population ages, improving work schedules in the years approaching retirement may be important to longer working lives., (© The Author(s) 2022. Published by Oxford University Press on behalf of The Gerontological Society of America.)

Due to the sheer quantity and quality of material, packaging waste is separately collected by municipal waste management systems, with a primary goal of its use in material recovery. The residual waste, i.e. rejected waste in the separation process can be energy recovered. Both recovery options have specific input material quality requirements. Therefore, it is important to know the characteristics of individual waste streams. This research analysed the composition and morphological characteristics of separately collected packaging waste from municipal waste management system, residual (rejected) waste fractions after separation steps and produced refuse-derived fuel (RDF). The efficiency of primary and secondary (manual) waste separation, as well as of the RDF production step, are tracked. Results show that primary waste separation produces material with under 7% of contaminants and secondary manual waste separation efficiency ranges between 45% and 55%. Physico-chemical comparison of simulated RDF strongly coincides with analysed properties of RDF as a final product which indicates very high separation efficiency in the RDF production. From the energy recovery/conversion standpoint, this can be quantified through deviations in the lower heating value (LHV) and the effective H/C molar ratio between simulated and real RDF samples, which are on the level of 1.8% and 1.1% respectively. The following conclusion can be made from the estimated relation between changes in separation efficiency and RDF energy-related characteristics; the separation efficiency of individual components plays important role in alternative fuel production as chemical compositions directly influence suitability for high-quality liquid fuel production. Results of this analysis shed a light on the connection between aspirations to increase material recovery share and the suitability of produced residual waste for further recovery and valorisation. The material and energetic valorisation are competitors, and further evaluation should be done to understand the investments needed to increase valuable fractions of wastes separation that, in turn, could diminish the energetic value of residual fractions and, therefore, the economic viability of energy recovery facilities., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2022 Elsevier Ltd. All rights reserved.)

Paid sick leave helps workers recover from illness and manage care obligations and protects public health. Yet access to paid sick leave remains limited and unequal in the United States. Drawing on surveys of 61,223 service-sector workers collected during the period 2017-21 by the Shift Project, we documented limited access to paid sick leave and stark gender inequality, with women less likely than men to have paid sick leave. Part-time employment and gender segregation by industry subsector each explain part, but not all, of the gender disparity. However, in states and localities that mandate paid sick leave for workers, workers are far more likely to report access to this benefit, and the gender gap is eliminated. Guaranteeing paid sick leave to all workers would offer a range of benefits for workers, employers, and public health while also offering the further benefit of reducing gender inequality.

What mechanisms underlie the transfer of a working memory representation into a higher-level code for guiding future actions? Electrophysiological correlates of attentional selection and motor preparation processes within working memory were investigated in two retrospective cuing tasks. In the first experiment, participants stored the orientation and location of a grating. Subsequent feature cues (selective vs. neutral) indicated which feature would be the target for later report. The oscillatory response in the mu and beta frequency range with an estimated source in the sensorimotor cortex contralateral to the responding hand was used as correlate of motor preparation. Mu/beta suppression was stronger following the selective feature cues compared to the neutral cue, demonstrating that purely feature-based selection is sufficient to form a prospective motor plan. In the second experiment, another retrospective cue was included to study whether knowledge of the task at hand is necessary to initiate motor preparation. Following the feature cue, participants were cued to either compare the stored feature(s) to a probe stimulus (recognition task) or to adjust the memory probe to match the target feature (continuous report task). An analogous suppression of mu oscillations was observed following a selective feature cue, even ahead of task specification. Further, a subsequent selective task cue again elicited a mu/beta suppression, which was stronger after a continuous report task cue. This indicates that working memory is able to flexibly store different types of information in higher-level mental codes to provide optimal prerequisites for all required action possibilities., Competing Interests: Declaration of Competing Interest The authors declare that financial and non-financial conflicts of interest do not exist., (Copyright © 2022. Published by Elsevier Inc.)

The authors develop a model of cumulative disadvantage relating three axes of disadvantage for hourly workers in the US retail and food service sectors: schedule instability, turnover, and earnings. In this model, exposure to unstable work schedules disrupts workers' family and economic lives, straining the employment relation and increasing the likelihood of turnover, which can then lead to earnings losses. Drawing on new panel data from 1,827 hourly workers in retail and food service collected as part of the Shift Project, the authors demonstrate that exposure to schedule instability is a strong, robust predictor of turnover for workers with relatively unstable schedules (about one-third of the sample). Slightly less than half of this relationship is mediated by job satisfaction and another quarter by work-family conflict. Job turnover is generally associated with earnings losses due to unemployment, but workers leaving jobs with moderately unstable schedules experience earnings growth upon re-employment.

Age-related differences in the processing of audiovisual speech in a multi-talker environment were investigated analysing event-related spectral perturbations (ERSPs), focusing on theta, alpha and beta oscillations that are assumed to reflect conflict processing, multisensory integration and attentional mechanisms, respectively. Eighteen older and 21 younger healthy adults completed a two-alternative forced-choice word discrimination task, responding to audiovisual speech stimuli. In a cocktail-party scenario with two competing talkers (located at -15° and 15° azimuth), target words (/yes/or/no/) appeared at a pre-defined (attended) position, distractor words at the other position. In two audiovisual conditions, acoustic speech was combined either with informative or uninformative visual speech. While a behavioural benefit for informative visual speech occurred for both age groups, differences between audiovisual conditions in the theta and beta band were only present for older adults. A stronger increase in theta perturbations for stimuli containing uninformative visual speech could be associated with early conflict processing, while a stronger suppression in beta perturbations for informative visual speech could be associated to audiovisual integration. Compared to the younger group, the older group showed generally stronger beta perturbations. No condition differences in the alpha band were found. Overall, the findings suggest age-related differences in audiovisual speech integration in a multi-talker environment. While the behavioural benefit of informative visual speech was unaffected by age, older adults had a stronger need for cognitive control when processing conflicting audiovisual speech input. Furthermore, mechanisms of audiovisual integration are differently activated depending on the informational content of the visual information., (© 2022 The Authors. European Journal of Neuroscience published by Federation of European Neuroscience Societies and John Wiley & Sons Ltd.)

Introduction: Enterprise data warehouses (EDWs) serve as foundational infrastructure in a modern learning health system, housing clinical and other system-wide data and making it available for research, strategic, and quality improvement purposes. Building on a longstanding partnership between Northwestern University's Galter Health Sciences Library and the Northwestern Medicine Enterprise Data Warehouse (NMEDW), an end-to-end clinical research data management (cRDM) program was created to enhance clinical data workforce capacity and further expand related library-based services for the campus., Methods: The training program covers topics such as clinical database architecture, clinical coding standards, and translation of research questions into queries for proper data extraction. Here we describe this program, including partners and motivations, technical and social components, integration of FAIR principles into clinical data research workflows, and the long-term implications for this work to serve as a blueprint of best practice workflows for clinical research to support library and EDW partnerships at other institutions., Results: This training program has enhanced the partnership between our institution's health sciences library and clinical data warehouse to provide support services for researchers, resulting in more efficient training workflows. Through instruction on best practices for preserving and sharing outputs, researchers are given the tools to improve the reproducibility and reusability of their work, which has positive effects for the researchers as well as for the university. All training resources have been made publicly available so that those who support this critical need at other institutions can build on our efforts., Conclusions: Library-based partnerships to support training and consultation offer an important vehicle for clinical data science capacity building in learning health systems. The cRDM program launched by Galter Library and the NMEDW is an example of this type of partnership and builds on a strong foundation of past collaboration, expanding the scope of clinical data support services and training on campus., Competing Interests: The authors have no conflict of interests to report., (© 2022 The Authors. Learning Health Systems published by Wiley Periodicals LLC on behalf of University of Michigan.)

Most neuroscientific studies investigating mental effort apply unspecific effort allocation paradigms. In contrast, the present EEG study targets specific effort allocation during task prioritization. Twenty-eight participants performed a cued number classification task during the retention interval of a working memory task including retrospective cues. One of two possible number classifications was done per trial. Each trial started with a cue indicating which of the two tasks would be more important in the upcoming trial. Subjects were told to engage in both tasks, but to concentrate on the important one. Feedback given at the end of each trial was calculated based on task performance, with scores obtained from the relevant task being tripled. Participants performed significantly better in either task when it was important compared to when not. Task prioritization modulates theta, alpha and beta oscillations, predominantly during task preparation. Multivariate pattern analysis revealed that the exact type of the two possible number classifications was decodable, however, decoding accuracy did not depend on task importance. Hemispheric alpha power asymmetries indicating attentional orienting between working memory representations also did not depend on task importance. The findings suggest that task prioritization primarily affects proactive cognitive control on a superordinate level., (© 2022. The Author(s).)