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This paper examines how routine patterns are recognized as either stable or flexible and which mechanisms are enacted to maintain this patterning work. We address this question through an ethnographic case study analyzing how a catastrophe management organization enacts routines in a highly dynamic setting. Our findings first of all reveal that patterns described by the participants as either stable or flexible were nevertheless both performed differently in each iteration of the routine. Our microlevel analysis shows that to enact patterns that participants perceive as stable, participants had to carry out specific aligning and prioritizing activities that lock-stepped performances. In contrast, participants perceive patterns as flexible when they enact specific selecting and recombining activities. Building on these observations, we add to extant routine literature by (1) differentiating between stability, standardization, flexibility, and change of routines and by (2) providing new insights on mindfulness in accounting for the microlevel activities enacted to orient toward a pattern that enhances standardization or flexibility in dynamic contexts. Moreover, (3) our insights point to the centrality of knowing for the enactment and recognition of patterning work.

Nanotechnology and lasers are among the most successful and active fields of research and technology that have boomed during the past two decades. Many improvements are based on the controlled manufacturing of nanostructures that enable tailored material functionalization for a wide range of industrial applications, electronics, medicine, etc., and have already found entry into our daily life. One appealing approach for manufacturing such nanostructures in a flexible, robust, rapid, and contactless one-step process is based on the generation of laser-induced periodic surface structures (LIPSS). This Perspective article analyzes the footprint of the research area of LIPSS on the basis of a detailed literature search, provides a brief overview on its current trends, describes the European funding strategies within the Horizon 2020 programme, and outlines promising future directions.

Previous research on maternal employment has disproportionately focused on the immediate postpartum period and typically modeled either cross-sectional employment status or time until a specific employment transition. We instead conceptualize maternal employment as a long-term pattern, extending the observation window and embedding employment statuses in temporal context. Using data from NLSY79 and sequence analysis, we document five common employment patterns of American mothers over the first 18 years of maternity. Three typical patterns revolve around a single employment status: full-time (36 %), part-time (13 %), or nonemployment (21 %); the other two patterns are characterized by 6 (15 %) or 11 (14 %) years of nonemployment, followed by a period of transition and then full-time employment. Analyses of the immediate postpartum period cannot distinguish between the nonemployment and reentry groups, which have different employment experiences and different prematernity characteristics. Next, we describe how mothers' human capital, attitudes and cultural models, family experiences, and race/ethnicity are associated with the employment patterns they follow, elucidating that these characteristics may be associated not only with how much mothers work but also the patterning of their employment. Our results support studying maternal employment as a long-term pattern and employing research approaches that address the qualitative distinctness of these diverse patterns.

Background Studies on sociodemographic differences in sick leave after coronavirus disease 2019 (COVID-19) are limited and research on COVID-19 long-term health consequences has mainly addressed hospitalized individuals. The aim of this study was to investigate the social patterning of sick leave and determinants of longer sick leave after COVID-19 among mild and severe cases. Methods The study population, from the Swedish multi-register observational study SCIFI-PEARL, included individuals aged 18–64 years in the Swedish population, gainfully employed, with a first positive polymerase chain reaction (PCR) test for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) from 1 January 2020 until 31 August 2021 (n = 661 780). Using logistic regression models, analyses were adjusted for sociodemographic factors, vaccination, prior sick leave, comorbidities and stratified by hospitalization. Results In total, 37 420 (5.7%) individuals were on sick leave due to COVID-19 in connection with their first positive COVID-19 test. Individuals on sick leave were more often women, older, had lower income and/or were born outside Sweden. These differences were similar across COVID-19 pandemic phases. The highest proportion of sick leave was seen in the oldest age group (10.3%) with an odds ratio of 4.32 (95% confidence interval 4.18–4.47) compared with the youngest individuals. Among individuals hospitalized due to COVID-19, the sociodemographic pattern was less pronounced, and in some models, even reversed. The intersectional analysis revealed considerable variability in sick leave between sociodemographic groups (range: 1.5–17.0%). Conclusion In the entire Swedish population of gainfully employed individuals, our findings demonstrated evident sociodemographic differences in sick leave due to COVID-19. In the hospitalized group, the social patterning was different and less pronounced.

Heavy geographic patterning to the 2016 Brexit vote in UK and Trump vote in US has resulted in numerous ecological analyses of variations in area-level voting behaviours. We extend this work by employing modelling approaches that permit regionally-specific associations between outcome and explanatory variables. We do so by generating a large number of regional models using penalised regression for variable selection and coefficient evaluation. The results reinforce those already published in that we find associations in support of a 'left-behind' reading. Multivariate models are dominated by a single variable-levels of degree-education. Net of this effect, 'secondary' variables help explain the vote, but do so differently for different regions. For Brexit, variables relating to material disadvantage, and to a lesser extent structural-economic circumstances, are more important for regions with a strong industrial history than for regions that do not share such a history. For Trump, increased material disadvantage reduces the vote both in global models and models built mostly for Southern states, thereby undermining the 'left-behind' reading. The reverse is nevertheless true for many other states, particularly those in New England and the Mid-Atlantic, where comparatively high levels of disadvantage assist the Trump vote and where model outputs are more consistent with the UK, especially so for regions with closer economic histories. This pattern of associations is exposed via our regional modelling approach, application of penalised regression and use of carefully designed visualization to reason over 100+ model outputs located within their spatial context. Our analysis, documented in an accompanying github repository, is in response to recent calls in empirical Social and Political Science for fuller exploration of subnational contexts that are often controlled out of analyses, for use of modelling techniques more robust to replication and for greater transparency in research design and methodology.

Abstract Background To characterize geospatial patterning of disadvantage in Sweden, we examined whether municipal-level indicators of socioeconomic disadvantage and disability pension (DP) rate were clustered, whether the different geospatial clusters were overlapping and whether the findings were similar among women and men. Methods Administrative national data from all 290 Swedish municipalities were used to determine the prevalence of DP and socioeconomic disadvantage [poverty, long-term unemployment, income inequality (GINI Index) and income inequality between women and men]. Geospatial cold spots (clusters of municipalities with a DP/socioeconomic disadvantage prevalence lower than the nationwide prevalence) and hot spots (clusters of municipalities with a DP/socioeconomic disadvantage higher than the nationwide prevalence) were identified, and whether a hot spot was overlapping with another hot spot and a cold spot overlapping with another cold spot were analysed using the Getis-Ord Gi statistics. Results Among women and men, cold spots of DP were most consistently located in the Stockholm area. Hot spots of DP were found in the mid-south Sweden, characterized by mid-sized urban centres in rural territories. High DP rate and socioeconomic disadvantage were overlapping, except for income inequality. Clusters of gender income inequality and women’s high DP rate were observed in mid-south Sweden. Conclusion DP and socioeconomic disadvantage are not randomly distributed in Sweden. Geospatial analyses revealed clusters of municipalities with high risk of both DP and socioeconomic disadvantage in certain areas and low risk in other areas. Further research is needed to identify preventive actions to decrease regional inequalities in work capacity.

Vacant lots. Historic buildings overgrown with weeds. Walls and alleyways covered with graffiti. These are sights associated with countless inner-city neighborhoods in America, and yet many viewers have trouble getting beyond the surface of such images, whether they are denigrating them as signs of a dangerous ghetto or romanticizing them as traits of a beautiful ruined landscape. The Street: A Field Guide to Inequality provides readers with the critical tools they need to go beyond such superficial interpretations of urban decay. Using MacArthur fellow Camilo José Vergara's intimate street photographs of Camden, New Jersey as reference points, the essays in this collection analyze these images within the context of troubled histories and misguided policies that have exacerbated racial and economic inequalities. Rather than blaming Camden's residents for the blighted urban landscape, the multidisciplinary array of scholars contributing to this guide reveal the oppressive structures and institutional failures that have led the city to this condition. Tackling topics such as race and law enforcement, gentrification, food deserts, urban aesthetics, credit markets, health care, childcare, and schooling, the contributors challenge conventional thinking about what we should observe when looking at neighborhoods.

Background Patients with substance use disorders are more likely than those without to have a self-directed hospital discharge, putting them at risk for poor health outcomes including progressing illness, readmissions, and death. Inadequate pain management has been identified as a potential motivator of self-directed discharge in this patient population. The objective of this study was to describe the association between acute pain and self-directed discharges among persons with opioid-related conditions; the presence of chronic pain in self-directed discharges was likewise considered. Methods We employed a large database of all hospitalizations at acute care hospitals during 2017 in the city of Philadelphia to identify adults with opioid-related conditions and compare the characteristics of admissions ending with routine discharge versus those ending in self-directed discharge. We examined all adult discharges with an ICD-10 diagnoses related to opioid use or poisoning and inspected the diagnostic data to systematically identify acute pain for the listed primary diagnosis and explore patterning in chronic pain diagnoses with respect to discharge outcomes. Results Sixteen percent of the 7972 admissions involving opioid-related conditions culminated in self-directed discharge, which was more than five times higher than in the general population. Self-directed discharge rates were positively associated with polysubstance use, nicotine dependence, depression, and homelessness. Among the 955 patients with at least one self-directed discharge, 15.4% had up to 16 additional self-directed discharges during the 12-month observation period. Those admitted with an acutely painful diagnosis were almost twice as likely to complete a self-directed discharge, and for patients with multiple admissions, rates of acutely painful diagnoses increased with each admission coinciding with a cascading pattern of worsening infectious morbidity over time. Chronic pain diagnoses were inconsistent for those patients with multiple admissions, appearing, for the same patient, in one admission but not others; those with inconsistent documentation of chronic pain were substantially more likely to self-discharge. Conclusions These findings underscore the importance of pain care in disrupting a process of self-directed discharge, intensifying harm, and preventable financial cost and suffering. Each admission represents a potential opportunity to provide harm reduction and treatment interventions addressing both substance use and pain.

Background Past research has established the intergenerational patterning of mental health: children whose parents have mental health problems are more likely to present with similar problems themselves. However, there is limited knowledge about the extent to which factors related to the child’s own social context, such as peer relationships, matter for this patterning. The aim of the current study was to examine the role of childhood peer status positions for the association in mental health across two generations. Methods The data were drawn from a prospective cohort study of 14,608 children born in 1953, followed up until 2016, and their parents. Gender-specific logistic regression analysis was applied. Firstly, we examined the associations between parental mental health problems and childhood peer status, respectively, and the children’s mental health problems in adulthood. Secondly, the variation in the intergenerational patterning of mental health according to peer status position was investigated. Results The results showed that children whose parents had mental health problems were around twice as likely to present with mental health problems in adulthood. Moreover, lower peer status position in childhood was associated with increased odds of mental health problems. Higher peer status appeared to mitigate the intergenerational association in mental health problems among men. For women, a u-shaped was found, indicating that the association was stronger in both the lower and upper ends of the peer status hierarchy. Conclusions This study has shown that there is a clear patterning in mental health problems across generations, and that the child generation’s peer status positions matter for this patterning. The findings also point to the importance of addressing gender differences in these associations.

Direct Laser Interference Patterning (DLIP) is a well-established method for surface functionalization, enhancing properties like friction, wetting, and bacteria repellence. Traditionally, DLIP uses transla-tional stage or scanner systems to move either the laser or the component, offering high processing velocities and precision. However, these methods face limitations with heavy 3D parts, such as form-ing tools, reducing the range of components and applications. The study presents a new DLIP ap-proach using an industrial robot, providing more freedom for treating large components with complex geometries. The DLIP tool, including the laser source, is attached to a robot arm. The laser delivers nanosecond pulses with up to 120 W power and 40 mJ pulse energies, designed to be lightweight and vibration-tolerant. The DLIP optics generate an elongated rectangular beam with a long depth of focus. Initial experiments structured stainless steel plates with a pulse frequency up to 800 Hz and 15 W power, with structuring velocities from 2 to 20 mm/s. Different structuring strategies were applied to punches, and their tribological performance in forming applications was compared to non-structured punches. The produced topographies are characterized using a confocal microscope. Keywords: direct laser interference patterning, free-form geometry, industrial robot, forming tool, friction reduction