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Actors and associates often match on a few dimensions that matter most for the relationship at hand. In so doing, they are exposed to unanticipated social influences because counterparts have broader attitudes and preferences than would-be contacts considered when they first chose to pair. The authors label as “partially deliberate” social matching that occurs on a small set of attributes, and they present empirical methods for identifying causal social influence effects when relationships follow this generative logic. A data set tracking the training and professional activities of academic biomedical scientists is used to show that young scientists adopt their advisers’ orientations toward commercial science as evidenced by adviser-to-advisee transmission of patenting behavior. The authors demonstrate this in two-stage models that account for the endogeneity of matching, using both inverse probability of treatment weights and an instrumental variables approach. They also draw on qualitative methods to support a causal interpretation. Overall, they present a theory and a triangulation of methods to establish evidence of social influence when tie formation is partially deliberate.

This article reconciles two seemingly incompatible expectations about interpersonal interaction and social influence. One theoretical perspective predicts that an increase in interaction between two actors will promote subsequent convergence in their attitudes and behaviors, whereas another view anticipates divergence. We examine the role of political identity in moderating the effects of interaction on influence. Our investigation takes place in the U.S. Senate—a setting in which actors forge political identities for public consumption based on the external constraints, normative obligations, and reputational concerns they face. We argue that interaction between senators who share the same political identity will promote convergence in their voting behavior, whereas interaction between actors with opposing political identities will lead to divergence. Moreover, we theorize that the consequences of political identity for interpersonal influence depend on the local interaction context. Political identity's effects on influence will be greater in more divided Senate committees than in less divided ones. We find support for these hypotheses in analyses of data, spanning over three decades, on voting behavior, interaction, and political identity in the Senate. These findings contribute to research on social influence; elite integration and political polarization; and identity theory.

We have explored various different machine learning (ML) approaches for forecasting tsunami amplitudes at a set of forecast points, based on hypothetical short-time observations at one or more observation points. As a case study, we chose an observation point near the entrance of the Strait of Juan de Fuca, and two forecast points in the Salish Sea, one in Discovery Bay and the other in Admiralty Inlet, the waterway leading to southern Puget Sound. One ML approach considered is to train a support vector machine to predict the maximum amplitude at the forecast points. We also explored the use of two deep convolutional neural networks, a denoising autoencoder and a variational autoencoder to predict the full time series at the forecast points. These latter approaches also provide an estimate of the uncertainty in the predictions. As training data we use a subset of the 1300 synthetic CSZ earthquakes generated in the work of Melgar et al. (J Geophys Res Solid Earth 121:6658-6674, 2016b), reserving some as test data. As additional tests, the trained ML models have also been applied to other hypothetical CSZ earthquakes produced by very different approaches, such as the “L1 event” from the work of Witter et al. (Geosphere 9(6):1783-1803, 2013) that is used in the generation of tsunami inundation maps in Washington State. The ML models are capable of providing very good predictions from short duration observations, even when truncated before the first wave peak has reached the observation point.

The efficacy of the erector spinae plane block (ESPB) has been demonstrated in several meta-analyses and it is increasingly being used in clinical practice. However, its mechanism of action is still not fully elucidated. Although initial anatomical studies have suggested the spread of the injectate into the paravertebral space as the main mechanism of action, more recent studies have not consistently demonstrated this. This systematic review was conducted to determine the overall proportion and extent of injectate spread following a thoracic ESPB. PubMed, Scopus and EMBASE were searched. All studies that examined the injectate spread after a thoracic ESPB either through dissection or imaging were included. Excluded were all reviews, studies performed in paediatric patients and non-thoracic ESPBs. The primary outcome was the proportion of subjects with injectate spread in the erector spinae plane (ESP), paravertebral space (PVS), intercostal space (ICS) and epidural space (ES). This review included 29 studies involving 113 cadavers and 79 volunteers. The proportion of subjects with injectate spread in the ESP, ICS, ES and PVS was 1 (95% confidence interval, 0.97–1), 0.51 (95% CI, 0.38–0.64), 0.38 (95% CI, 0.28–0.5) and 0.57 (95% CI, 0.49–0.64) respectively. The mean spread of injectate in the ESP, ICS, ES and PVS were 9.1 (95% CI, 8.0–10.3), 5.6 (95% CI, 4.0–7.3), 3.1 (95% CI, 1.0–5.3) and 3.5 (95% CI, 2.4–4.6) spinal levels respectively. Based on this study, the thoracic ESPB consistently led to injectate spread into the ESP compartment but less reliable spread into the PVS, ES and ICS compartments. There is also preliminary evidence that an increased time to assessment may be associated with an increased spread of injectate into the PVS. •Consistent with other literature, this study shows that the likely mechanism of action of the Erector Spinae Plane block is via diffusion or bulk flow to the paravertebral space, epidural space and intercostal space.•However, the spread into these areas is inconsistent, raising questions about the reliability of the block.•Further research is required to understand the relationship between injectate volume, timing of assessment and injectate spread.

Relative abundances of bacterial species in the gut microbiome have been linked to many diseases. Species of gut bacteria are ecologically differentiated by their abilities to metabolize different glycans, making glycan delivery a powerful way to alter the microbiome to promote health. Here, we study the properties and therapeutic potential of chemically diverse synthetic glycans (SGs). Fermentation of SGs by gut microbiome cultures results in compound-specific shifts in taxonomic and metabolite profiles not observed with reference glycans, including prebiotics. Model enteric pathogens grow poorly on most SGs, potentially increasing their safety for at-risk populations. SGs increase survival, reduce weight loss, and improve clinical scores in mouse models of colitis. Synthetic glycans are thus a promising modality to improve health through selective changes to the gut microbiome. Here, the authors characterize the gut microbiome fermentation properties and therapeutic potential of chemically diverse synthetic glycans (SGs), showing they promote specific shifts in taxonomic and metabolite profiles, and exhibit therapeutic benefits in mouse models of colonic inflammation, together implying SGs as a potential avenue to treat disease by modulating the composition and metabolites produced by the gut microbiome.

Unearthing within-group inequality in science funding and careers highlights a new mechanism explaining the disadvantages faced by younger generations of women scientists.

ABSTRACT Background and Aims: Lower extremity amputation (LEA) is a commonly performed surgery and is associated with significant mortality and morbidity. This review compares the impact of anaesthetic technique on 30-day mortality and other perioperative outcomes in patients undergoing LEA. Methods: A systematic search of databases including PubMed, Embase, Scopus and Cochrane Central Register of Controlled Trials, from January 2010 to March 2021, was performed. Studies were eligible if they compared 30-day mortality following either general anaesthesia (GA) or regional anaesthesia (RA), in adult patients undergoing LEA. Results: Ten retrospective observational studies were identified. Four of these studies utilised a propensity-score matching technique. Based on these four studies, RA when compared to GA, is not associated with a reduction in the 30-day mortality (Odds ratio 0.83, 95% confidence interval (CI): 0.65, 1.05, I2 20%, P = 0.12). Also there is a very low level of evidence that RA may result in a decrease in the hospital length-of-stay and intensive care unit admissions of patients undergoing LEA. Conclusion: RA does not decrease the 30-day postoperative mortality in patients undergoing LEA when compared to GA.

We examine the role that geography plays in structuring interactions within an organizational setting designed to promote broad patterns of interaction: the organizational forum. We propose that, within a forum, an individual's location structures his or her access to peer support, but individuals with power (i.e., those who control the flow of organizational resources) can transcend these geographic constraints. We examine these propositions with data collected on strategic actors in the U.S. Senate Chamber. Using a dyad fixed effects approach, time-varying controls, selection-on-observables estimation, and quasi-exogenous shocks to seating arrangements, we find support for our propositions. These results contribute to our understanding of strategic interaction patterns, with an emphasis on the geographic scaffold upon which strategic actions are constructed.

Skin autoimmune conditions belong to a larger group of connective tissue diseases and primarily affect the skin, but might also involve underlying tissues, such as fat tissue, muscle, and bone. Autoimmune antibodies (autoantibodies) play a role in autoimmune skin diseases, such as localized scleroderma also termed morphea, and systemic scleroderma, also called systemic sclerosis (SSc). The detailed studies on the biological role of autoantibodies in autoimmune skin diseases are limited. This results in a few available tools for effective diagnosis and management of autoimmune skin diseases. This review aims to provide an update on the detection and most recent research on autoantibodies in morphea. Several recent studies have indicated the association of autoantibody profiles with disease subtypes, damage extent, and relapse potential, opening up exciting new possibilities for personalized disease management. We discuss the role of existing autoantibody tests in morphea management and the most recent studies on morphea pathogenesis. We also provide an update on novel autoantibody biomarkers for the diagnosis and study of morphea.