In the standard picture of fully developed turbulence, highly intermittent hydrodynamic fields are nonlinearly coupled across scales, where local energy cascades from large scales into dissipative vortices and large density gradients. Microscopically, however, constituent fluid molecules are in constant thermal (Brownian) motion, but the role of molecular fluctuations in large-scale turbulence is largely unknown, and with rare exceptions, it has historically been considered irrelevant at scales larger than the molecular mean free path. Recent theoretical and computational investigations have shown that molecular fluctuations can impact energy cascade at Kolmogorov length scales. Here, we show that molecular fluctuations not only modify energy spectrum at wavelengths larger than the Kolmogorov length in compressible turbulence, but also significantly inhibit spatio-temporal intermittency across the entire dissipation range. Using large-scale direct numerical simulations of computational fluctuating hydrodynamics, we demonstrate that the extreme intermittency characteristic of turbulence models is replaced by nearly Gaussian statistics in the dissipation range. These results demonstrate that the compressible Navier–Stokes equations should be augmented with molecular fluctuations to accurately predict turbulence statistics across the dissipation range. Our findings have significant consequences for turbulence modelling in applications such as astrophysics, reactive flows and hypersonic aerodynamics, where dissipation-range turbulence is approximated by closure models.

Liberia (West Africa) has an extensive (co)burden of urogenital and intestinal schistosomiasis; each largely restricted to more inland areas. Where urogenital schistosomiasis is endemic, as both disease surveillance and case management are nascent, many women may unknowingly be living with Female Genital Schistosomiasis (FGS). Using a recently developed FGS score card, we appraised FGS score card valuations with point-of-care gynaecological and molecular parasitological evaluations as undertaken within typical primary care settings of four Liberian counties. A total of 400 women, 100 participants from each of four endemic inland counties, underwent a cursory gynaecological examination using a speculum for visible FGS lesions, undertaken by a midwife, and provided a urine sample that was examined by centrifugation with microscopy for Schistosoma ova. Urine-sediments in ethanol were later analysed with a high-resolution melt (HRM) real-time (rt) PCR assay to screen for Schistosoma genetic markers. Using a combination of clinical and parasitological information, overall prevalence of UGS and FGS was <10% and a single case of putative FGS-associated co-infection with Schistosoma mansoni was observed. Participant interviews with the FGS score cards provided an insight into at-risk lifestyle and environmental factors, e.g. women who fished regularly were more likely to present with FGS whereas those who lived > 15 km from a local river were less likely to present with FGS. In this resource-poor setting of Liberia, active surveillance for FGS with either clinical or parasitological methods remains challenging such that sole future use of the FGS score card is most pragmatic for primary care.

Background: Infection is a common and highly morbid postoperative complication in victims of physical trauma. Current literature analyzing the infectious sequelae of physical trauma predominately comes from military data, where blast trauma, rather than blunt or penetrating trauma, is most common. The epidemiology and management of infectious sequelae of civilian trauma are poorly understood, as is perioperative antimicrobial management of trauma laparotomy. Methods: We performed a single-center retrospective chart review using data from University of Chicago’s electronic medical record (Epic) and the National Trauma Registry. Patients 16 years and older admitted for level 1-2 trauma who underwent laparotomy between 5/1/2018-3/18/2023 were included. Using informatics and manual chart review, we analyzed patient demographics, rates of infection, sites of infection, timing of infection from initial trauma event, and causative organisms. We compared patients based on mechanism of injury (blunt versus penetrating) and whether patients underwent damage control laparotomy (DCL)--where the abdomen is left in discontinuity after the initial laparotomy--or single laparotomy (SL). Results: 430 patients met criteria. The median age was 30. Patients were majority Black (80.9%) and male (80.9%). 80.5% of patients had penetrating trauma, of which 90% were gunshot wounds (GSW). 19.8% had blunt trauma, of which 89% were motor-vehicle crashes (MVC). 19 (4.4%) died during initial stabilization, 199 (46.3%) underwent single laparotomy, and 212 (49.3%) underwent DCL (Figure 1). Of patients that survived initial stabilization, 27 (6.6%) developed a bloodstream infection (BSI), of which 21 (77.8%) came from the DCL group (Figures 2, 3). 19% of BSI in the DCL group were caused by yeast. 30.7% of patients developed a culture-positive surgical site infection (SSI) or intra-abdominal infection (IAI), with a rate of 40.6% in the DCL group (Table 2). Yeast were isolated in 40.5% of patients with positive cultures, 86.3% of which were isolated in the DCL group, with an overall incidence of 20.8% in the entire DCL group. Median time from arrival to infection diagnosis was 11 days. Patients generally received empiric Piperacillin-tazobactam while the abdomen was in discontinuity. Conclusions: Infection in civilian trauma laparotomy often arises as SSI or IAI, and is most pronounced in the DCL population. Yeast represents an unexpectedly high proportion of causative organisms. Further research is required to assess whether yeast burden can be mitigated by either incorporating antifungal prophylaxis at time of initial laparotomy, or by shortening empiric post-laparotomy antibiotic courses.

Recent changes to US research funding are having far-reaching consequences that imperil the integrity of science and the provision of care to vulnerable populations. Resisting these changes, the BJPsych Portfolio reaffirms its commitment to publishing mental science and advancing psychiatric knowledge that improves the mental health of one and all.

Fast and efficient identification is critical for reducing the likelihood of weed establishment and for appropriately managing established weeds. Traditional identification tools require either knowledge of technical morphological terminology or time-consuming image matching by the user. In recent years, deep learning computer vision models have become mature enough to enable automatic identification. The major remaining bottlenecks are the availability of a sufficient number of high-quality, reliably identified training images and the user-friendly, mobile operationalization of the technology. Here, we present the first weed identification and reporting app and website for all of Australia. It includes an image classification model covering more than 400 species of weeds and some Australian native relatives, with a focus on emerging biosecurity threats and spreading weeds that can still be eradicated or contained. It links the user to additional information provided by state and territory governments, flags species that are locally reportable or notifiable, and allows the creation of observation records in a central database. State and local weed officers can create notification profiles to be alerted of relevant weed observations in their area. We discuss the background of the WeedScan project, the approach taken in design and software development, the photo library used for training the WeedScan image classifier, the model itself and its accuracy, and technical challenges and how these were overcome.

The theory of quiet politics has two propositions; first, that business interests prefer to engage with governments in ‘quiet’ arenas shielded from the media and the day-to-day political fray, and second that business interests exert power over governments in quiet politics. We counter the second proposition, arguing that business generally exercises influence rather than power in quiet politics. One precondition for the successful exercise of influence is the acceptance by business of certain protocols of behavior in interactions with governments. In this paper we underline the importance of such protocols by exploring the dynamics of a conflict between the east coast gas industry and the federal government in Australia amidst steep rises in domestic gas prices and supply restrictions in 2022. The gas industry behaved badly in the economy and in politics and did not abide by the relevant protocols of engagement with the government. The government responded aggressively and quiet politics failed. The paper underlines the importance of the behavioral pre-conditions for business influence in quiet politics and what can go wrong if this fails.

We argue that the everyday language distinction drawn between power and influence is meaningful and significant. There is good reason to believe that much corporate lobbying activity which is currently described under the heading of business power is better understood as attempts to secure negotiated agreements based on exerting influence rather than power and that the latter is usually used only when attempts to use influence have failed. We develop an analytical distinction between influence, understood as successful efforts at persuasion, and power using Keith Dowding’s work on power. Drawing upon findings from interviews with corporate professionals operating at the coalface of business and government interaction in Australia, we show that lobbyists generally seek “quiet” behind-the-scenes accommodations with governments via attempts to exert influence rather than power.

New technologies and disruptions related to Coronavirus disease-2019 have led to expansion of decentralized approaches to clinical trials. Remote tools and methods hold promise for increasing trial efficiency and reducing burdens and barriers by facilitating participation outside of traditional clinical settings and taking studies directly to participants. The Trial Innovation Network, established in 2016 by the National Center for Advancing Clinical and Translational Science to address critical roadblocks in clinical research and accelerate the translational research process, has consulted on over 400 research study proposals to date. Its recommendations for decentralized approaches have included eConsent, participant-informed study design, remote intervention, study task reminders, social media recruitment, and return of results for participants. Some clinical trial elements have worked well when decentralized, while others, including remote recruitment and patient monitoring, need further refinement and assessment to determine their value. Partially decentralized, or “hybrid” trials, offer a first step to optimizing remote methods. Decentralized processes demonstrate potential to improve urban-rural diversity, but their impact on inclusion of racially and ethnically marginalized populations requires further study. To optimize inclusive participation in decentralized clinical trials, efforts must be made to build trust among marginalized communities, and to ensure access to remote technology.