Howard Thurman, the great 20th-century African American thinker and pastor, has often been characterized as holding an antagonistic view of the Apostle Paul, based primarily on several passages in his most important work, Jesus and the Disinherited (1949). One of those passages describes the anti-Pauline position of his grandmother, a former slave, Nancy Ambrose. In this article we argue that Thurman was, in contrast to his grandmother, oftentimes an admirer of Paul. Our thorough consideration of Thurman’s published and unpublished work, as well as the work of his various intellectual and religious mentors, uncovers that he had a much more nuanced position on Paul than is normally described. He saw Paul as a profoundly radical and original thinker, who was nonetheless compromised by his Roman citizenship, distancing himself from his fellow Jews. For Thurman, a mentor to many in the civil rights movement, the question of citizenship was crucial, and he used Paul to help explore the complex intellectual, religious, and social situations of African Americans, caught between two worlds, ambivalent about trying to fit into a world that was ambivalent about them. In this way, for Thurman, Paul was a model of personal struggle and religious complexity.

Despite an early surge in copper-ore mining during the sixth and fifth millennia BC (the ‘boom’), evidence for metal production in the Balkans dwindles in the fourth millennium (the ‘bust’). Here, the authors present new evidence for copper mining at Curak in south-west Serbia, c. 3800 cal BC, during this apparent downturn. By integrating field surveys, excavations and provenance analyses, they explore activity at the site, challenging the visibility bias in the archaeological record of this region for this key period. Rather than a societal collapse, the authors argue, fewer artefacts may instead reflect a widening Balkan sphere of influence.

Female genital schistosomiasis (FGS) is a chronic disease manifestation of the waterborne parasitic infection Schistosoma haematobium that affects up to 56 million women and girls, predominantly in sub-Saharan Africa. Starting from early childhood, this stigmatizing gynaecological condition is caused by the presence of Schistosoma eggs and associated toxins within the genital tract. Schistosoma haematobium typically causes debilitating urogenital symptoms, mostly as a consequence of inflammation, which includes bleeding, discharge and lower abdominal pelvic pain. Chronic complications of FGS include adverse sexual and reproductive health and rights outcomes such as infertility, ectopic pregnancy and miscarriage. FGS is associated with prevalent human immunodeficiency virus and may increase the susceptibility of women to high-risk human papillomavirus infection. Across SSA, and even in clinics outside endemic areas, the lack of awareness and available resources among both healthcare professionals and the public means FGS is underreported, misdiagnosed and inadequately treated. Several studies have highlighted research needs and priorities in FGS, including better training, accessible and accurate diagnostic tools, and treatment guidelines. On 6 September, 2024, LifeArc, the Global Schistosomiasis Alliance and partners from the BILGENSA Research Network (Genital Bilharzia in Southern Africa) convened a consultative, collaborative and translational workshop: ‘Female Genital Schistosomiasis: Translational Challenges and Opportunities’. Its ambition was to identify practical solutions that could address these research needs and drive appropriate actions towards progress in tackling FGS. Here, we present the outcomes of that workshop – a series of discrete translational actions to better galvanize the community and research funders.

We conducted a series of experiments that revealed the formation of mm-scale penitente structures in ice illuminated by broadband light under moderate vacuum conditions between 50 and 2000 Pa. The experimental apparatus consists of a 0.3 m diameter cylindrical vacuum chamber with a cooling jacket surrounding the outer radius and bottom surface. Light shines in through an optical window at the top to illuminate most of the ice surface. We observe penitente-like structures at temperatures between −15$^\circ$C and $-2^\circ$C and pressures close to the equilibrium vapor pressure at the ice surface temperature. The formation of these structures is very sensitive to slight changes in background pressure, and the structures tend to vanish with significant deviations away from the equilibrium curve, resulting in a smooth sublimated crater formation instead of penitentes. Application of the physical model by Claudin and others (2015, doi: 10.1103/PhysRevE.92.033015) at experimental conditions generally agrees with observations for penitente spacing.

Cells of magnetotactic bacteria are used as model systems for studying the magnetic properties of ferrimagnetic nanocrystals. Each individual bacterial strain produces magnetosomes (membrane-bounded magnetic crystals) that have distinct sizes, shapes, crystallographic orientations and spatial arrangements, thereby providing nanoparticle systems whose unique magnetic properties are unmatched by synthetic chemically-produced crystals. Here, we use off-axis electron holography in the transmission electron microscope to study the magnetic properties of isolated and closely-spaced bullet-shaped magnetite (Fe3O4) magnetosomes biomineralized by the following magnetotactic bacterial strains: the cultured Desulfovibrio magneticus RS-1 and the uncultured strains LO-1 and HSMV-1. These bacteria biomineralize magnetite crystals whose crystallographic axes of elongation are parallel to <100> (RS-1 and LO-1) or <110> (HSMV-1). We show that the individual magnetosome crystals are single magnetic domains and measure their projected in-plane magnetization distributions and magnetic dipole moments. We use analytical modelling to assess the interplay between shape anisotropy and the magnetically preferred <111> magneto-crystalline easy axis of magnetite.

As governments increasingly adopt algorithms and artificial intelligence (AAI), we still know comparatively little about citizens’ support for algorithmic government. In this paper, we analyze how many and what kind of reasons for government use of AAI citizens support. We use a sample of 17,000 respondents from 16 OECD countries and find that opinions on algorithmic government are divided. A narrow majority of people (55.6%) support a majority of reasons for using algorithmic government, and this is relatively consistent across countries. Results from multilevel models suggest that most of the cross-country variation is explained by individual-level characteristics, including age, education, gender, and income. Older and more educated respondents are more accepting of algorithmic government, while female and low-income respondents are less supportive. Finally, we classify the reasons for using algorithmic government into two types, “fairness” and “efficiency,” and find that support for them varies based on individuals’ political attitudes.

An ideal vision model accounts for behavior and neurophysiology in both naturalistic conditions and designed lab experiments. Unlike psychological theories, artificial neural networks (ANNs) actually perform visual tasks and generate testable predictions for arbitrary inputs. These advantages enable ANNs to engage the entire spectrum of the evidence. Failures of particular models drive progress in a vibrant ANN research program of human vision.

Vaccination against hepatitis B virus (HBV) is effective at preventing vertical transmission. Sierra Leone, Liberia, and Guinea are hyperendemic West African countries; yet, childhood vaccination coverage is suboptimal, and the determinants of incomplete vaccination are poorly understood. We analyzed national survey data (2018–2020) of children aged 4–35 months to assess complete HBV vaccination (receiving 3 doses of the pentavalent vaccine) and incomplete vaccination (receiving <3 doses). Statistical analysis was conducted using the complex sample command in SPSS (version 28). Multivariate logistic regression was used to identify determinants of incomplete immunization. Overall, 11,181 mothers were analyzed (4,846 from Sierra Leone, 2,788 from Liberia, and 3,547 from Guinea). Sierra Leone had the highest HBV childhood vaccination coverage (70.3%), followed by Liberia (64.6%) and Guinea (39.3%). Within countries, HBV vaccination coverage varied by socioeconomic characteristics and healthcare access. In multivariate regression analysis, factors that were significantly associated with incomplete vaccination in at least one country included sex of the child, Muslim mothers, lower household wealth index, <4 antenatal visits, home delivery, and distance to health facility vaccination (all p < 0.05). Understanding and addressing modifiable determinants of incomplete vaccination will be essential to help achieve the 2030 viral hepatitis elimination goals.

We report a case of hypoplastic left heart syndrome and with subsequent aortopathy and then found to have hereditary haemorrhagic telangiectasia/juvenile polyposis syndrome due to a germline SMAD4 pathologic variant. The patient’s staged palliation was complicated by the development of neoaortic aneurysms, arteriovenous malformations, and gastrointestinal bleeding thought to be secondary to Fontan circulation, but workup revealed a SMAD4 variant consistent with hereditary haemorrhagic telangiectasia/juvenile polyposis syndrome. This case underscores the importance of genetic modifiers in CHD, especially those with Fontan physiology.

Eigenvectors of the observability and controllability Gramians represent responsive and receptive flow structures that enjoy a well-established connection to resolvent forcing and response modes. However, whereas resolvent modes have demonstrated great potential to guide sensor and actuator placement, observability and controllability modes have been leveraged exclusively in the context of model reduction via input and output projections. In this work, we introduce interpolatory, rather than orthogonal, input and output projections, that can be leveraged for sensor and actuator placement and open-loop control design. An interpolatory projector is an oblique projector with the property of preserving certain entries in the vector being projected. We review the connection between the resolvent operator and the Gramians, and present several numerical examples where we perform both orthogonal and interpolatory input and output projections onto the dominant forcing and response subspaces. Input projections are used to identify dynamically relevant disturbances, place sensors to measure disturbances, and place actuators for feedforward control in the linearized Ginzburg–Landau equation. Output projections are used to identify coherent structures and place sensors aiming at state reconstruction in the turbulent flow in a minimal channel at $Re_{\tau }=185$. The framework does not require data snapshots and relies only on knowledge of the steady or mean flow.