Cocoa production is highly variable and shows low yields globally, but the drivers of this variation are poorly understood. Climate has been proposed as one of the main drivers, but within-tree competition for resources and disease may also influence the number of cocoa pods produced. In addition, the relative importance of climate and within-tree competition for resources remains unknown. We evaluated the effects of climate, within-tree competition, and disease on cocoa pod dynamics in Ghana and assessed the relative importance of climate and within-tree competition. We monitored cocoa pod dynamics during three years for 1472 trees at 96 farms across Ghana. Counts of pods of different sizes were carried out every six weeks. Climate effects were evaluated based on monthly precipitation and temperature, including lag effects. Effects of within-tree resource competition on pod production were tested by assessing the effect of the number of larger-sized pods on a cocoa tree on the number of pods in smaller size classes using generalised linear mixed-effects models accounting for zero inflation. We consistently found that climate was a stronger driver of pod production than within-tree competition. Across size classes, the climatic conditions experienced at the time of fruit set had the strongest effect on the number of pods. For most pod size classes, both higher temperature and, unexpectedly, higher precipitation negatively influenced pod number. A larger number of large and mature pods negatively affected the number of cherelles (smallest pods), indicating within-tree competition among pods. This suggests that cocoa trees prioritise sustaining pods in larger sizes over producing new ones, for instance, through mechanisms like cherelle wilt. Our results suggest that higher precipitation increased the incidence of fungal diseases and indirectly reduced the number of pods produced. Thus, a combination of lagged climate effects and within-tree competition and disease drives the dynamics and development of pods on cocoa trees. Our results show that lagged climate effects should be considered for adaptation measures to climatic conditions (and climate change) and for determining the best timing for disease management interventions. These results help in understanding cocoa production dynamics and are important for yield and disease modelling.

This paper theoretically introduces a new architecture for pumping leaky-dielectric fluids. For two such fluids layered in a channel, the mechanism utilises Maxwell stresses on fluid interfaces (referred to as menisci) induced by a periodic array of electrode pairs inserted between the two fluids and separated by the menisci. The electrode pairs are asymmetrically spaced and held at different potentials, generating an electric field with variation along the menisci. To induce surface charge accumulation, an electric field (and thus current flow) is also imposed in the direction normal to the menisci, using flat upper and lower electrodes, one in each fluid. The existence of both normal and tangential electric fields gives rise to Maxwell stresses on each meniscus, driving the flow in opposite directions on adjacent menisci. If the two menisci are the same length, then a vortex array is generated that results in no net flow; however, if the spacing is asymmetric, then the longer meniscus dominates, causing a net pumping in one direction. The pumping direction can be controlled by the (four) potentials of the electrodes, and the electrical properties of the two fluids. In the analysis, an asymptotic approximation is made that the interfacial electrode period is small compared to the fluid layer thicknesses, which reduces the analytical difficulty to an inner region close to the menisci. Closed-form solutions are presented for the potentials, velocity field and resulting pumping speed, for which maximum values are estimated, with reference to the electrical power required and feasibility.

We present a theoretical approach that derives the wavenumber $k^{-1}$ spectral scaling in turbulent velocity spectra using random field theory without assuming specific eddy correlation forms or Kolmogorov’s inertial-range scaling. We argue for the mechanism by Nikora (1999 Phys. Rev. Lett. 83 (4), 734), modelling turbulence as a superposition of eddy clusters with eddy numbers inversely proportional to their characteristic length scale. Statistical mixing of integral scales within these clusters naturally yields the $k^{-1}$ scaling as an intermediate asymptotic regime. Building on the spectrum modelling introduced in Jetti et al. (2025b Z. Angew. Math. Physik. 74 (3), 123), we develop and apply an integral formulation of the general velocity spectrum that reproduces the $k^{-1}$ regime observed in field spectra, thereby bridging theoretical derivation and empirical observations. The model is validated using wind data at a coastal site, and tidal data in a riverine environment where the –1 scaling persists beyond the surface layer logarithmic region. The results confirm the robustness of the model at various flow conditions, offering new insights into the spectral energy distribution in geophysical and engineering flows.

Partisanship and feelings about racial groups are increasingly linked among whites in the United States. Does this pattern extend to other Americans? To answer this question, we begin by examining trends in what has been termed “affective differentiation”—a measure of racial affect that is, in our case, the difference in ratings between one’s own group and white Americans—and partisanship to demonstrate first that affective differentiation has increased. Further, this measure of racial affect has a growing relationship with partisanship among Black and Latine Americans such that Democratic identification is associated with higher levels of affective differentiation. Next, using panel data from the two most recent presidential elections we find that the direction of influence flows from partisanship to affective differentiation. Higher levels of attachment to the Democratic Party are associated with greater affective differentiation in which respondents rate their own group more favorably than whites. In recent elections, there has been a stark polarization among political parties regarding the utilization of explicit racial rhetoric. Members of the electorate have taken notice, leading partisans to update their racial attitudes.

We deliberated a case report of seven cases to investigate whether inhibitors of tumor necrosis factor-α (TNF-) could reduce pregnancy dangers caused by antiphospholipid syndrome (APS). Patient 1 was diagnosed with NC-OAPS and Hashimoto, Patient 3 was with SN-APS and Hashimoto, Patient 2, 3, 4 were with SN-APS, Patient 5 and 6 were with OAPS, and Patient 7 was with OAPS and PCOS. Patient 4 took the longest period to report the disappearance of symptoms (7 days), followed by patients 1 and 5, and lastly, 2, 3, 6 and 7; after treatment, TNF-α decreased to varying degrees in 7 patients, among which Patient 1, 3, 6, 7 reached the ideal level (< 8.1) and Patient 5 reached the highest level (123.04); Patient 6 and 7 were ongoing pregnancies. The fetuses were born to the desired gestational age except the fetus from Patient 1. A total of 5 patients underwent cesarean delivery. The average height of the newborns was 48.20 cm and the average weight was 2.50 kg. The Apgar scores ranged between 8 and 10. The ongoing pregnancies as a limitation of the dataset. Collectively, we found that TNF-α Inhibitors could prolong gestational period.

Parkinson’s disease (PD) is the fastest-growing neurological condition in the world, affecting 11·8 million people worldwide in 2021. Due to the globally expanding and ageing population, as well as growing industrialisation, this number is likely to increase. Given the absence of disease-modifying pharmacological therapies, this review aimed to examine the effect of dietary interventions on PD progression, motor symptoms, non-motor symptoms, specifically those affecting the gastrointestinal (GI) tract, and severity. To do so, this review synthesised the current evidence from randomised controlled trials (RCTs) on dietary patterns, individual foods and beverages, and nutritional supplements including nutrients, bioactive compounds, and biotics.

Results from the included RCTs failed to demonstrate conclusive evidence for the use of a dietary intervention as a therapy for improving PD progression, symptoms and severity. However, this is likely a reflection of the current scarcity of RCTs in the literature, rather than an outright demonstration of the ineffectiveness of such dietary approaches. In contrast, several trials have demonstrated a beneficial effect of biotic supplementation in managing GI symptoms, particularly constipation syndrome, which may be a promising avenue for improving GI-related issues that affect up to 80 % of PD patients. In conclusion, further RCTs are required to decipher the role that diet may play in mitigating PD progression and severity and improving overall patient care by reducing both motor and non-motor symptoms.

Based on four years of fieldwork, including 339 interviews across 21 cities, this paper provides the first-ever ethnographic account of the political economy behind the transition from traditional taxis to Didi-style ride-hailing in China. This paper makes two contributions to the literature. First, it investigates how the seemingly disadvantaged stakeholders of an old economy resisted the progress of the platform economy and why the different levels of the Chinese government, which are not subject to Western democratic accountability regimes, respond to the resistance. Second, it demonstrates the sophisticated and various approaches the Chinese government has taken in balancing the interests of the old taxi industry and the interests of the new economy. The Chinese government’s holistic approach in seeking a balance across different industries and achieving multiple goals at the same time differs from our conventional way of considering regulating online ride-hailing as an issue of compensation between the government and taxi license holders or an issue of legalization between the government and platforms such as Didi or Uber.

We study the K-stability of blow-ups of the weighted projective plane ${\mathbb P}(1,1,n)$, where n is a positive integer.

Often, accounts of epistemic injustice either conflate epistemic harming with epistemic wronging or assume epistemic injustice is grounded in instances of epistemic harm. Recently, Dunne and Kotsonis (2024) have argued that neither conflation nor grounding make sense; the two are separate phenomena and have attempted to show how the two relate to one another. I argue this approach is mistaken: rather than just distinguish epistemic harming and wronging, instead we should question the very existence of epistemic harm. First, I discuss the relationship between epistemic harm and epistemic wrong and briefly summarize the ways in which they come apart. While I argue that Dunne and Kotsonis’ arguments are unsuccessful, I offer a new argument to the same effect, showing that current accounts of epistemic harm are underinclusive with respect to epistemic wronging. Second, I show that, generally, wronging does not require harming. Finally, I give us reason to believe that indeed, epistemic harm doesn’t exist: I argue that the notion of intrinsically epistemic harm is suspect, and does not fit within extant theorization on harm more generally and that we, therefore, ought to abandon it entirely: like the general case, epistemic wrong can exist without epistemic harm. To modify a slogan proposed by Bradley, we should do away with epistemic harm.

We give combinatorially controlled series solutions to Dyson–Schwinger equations with multiple insertion places using tubings of rooted trees and investigate the algebraic relation between such solutions and the renormalization group equation.

As India and Pakistan emerged as two new nation-states after 1947, questions around nationality and citizenship animated official and public discourses. While there were constitutional and legal pronouncements to clarify these matters, this article suggests that particular documents governing mobility became central to how such issues were framed and understood. In particular, this article focuses on the Indian passport and similar documents of mobility control, such as the domicile certificate, permits, and so on, to examine how they worked singly and in conjunction to frame the documentary life of belonging. The article also focuses on particular mobile groups, Muslim minorities and women married to non-Indians, to understand how these documents became central to their claims of citizenship and belonging.

Human interactions in the online world comprise a combination of positive and negative exchanges. These diverse interactions can be captured using signed network representations, where edges take positive or negative weights to indicate the sentiment of the interaction between individuals. Signed networks offer valuable insights into online political polarization by capturing antagonistic interactions and ideological divides on social media platforms. This study analyzes polarization on Menéame, a Spanish social media platform that facilitates engagement with news stories through comments and voting. Using a dual-method approach—Signed Hamiltonian Eigenvector Embedding for Proximity for signed networks and Correspondence Analysis for unsigned networks—we investigate how including negative ties enhances the understanding of structural polarization levels across different conversation topics on the platform. While the unsigned Menéame network effectively delineates ideological communities, only by incorporating negative ties can we identify ideologically extreme users who engage in antagonistic behaviors: without them, the most extreme users remain indistinguishable from their less confrontational ideological peers.

Understanding how law is articulated by computer means becomes crucial amid the widespread use of algorithmic decision-making systems (ADMs) in public policies. Based on a case study of the profiling algorithm deployed in labour market policies in Poland, this article contributes to the debate on computer representation of law. Using unique data concerning ADMs and their development, we address the following questions: How is the law articulated through algorithms? Who produces, and how, what kinds of discrepancies between the law and ADMs? Our analysis revealed discrepancies that were indicative of political decision-making that go far beyond adaptations of law to the requirements of ADMs. Furthermore, contrary to what the literature suggests, these discrepancies were a product of backstage decision-making by traditional policy-makers – executive and public administration – rather than system-level bureaucrats. Thus, we argue for the need to incorporate the political dimension more systematically into the analysis of computer articulation of law.

This article analyzes the evolution of banking supervision in Spain under Franco’s regime (1939–1975), highlighting how political and economic factors shaped oversight in an authoritarian setting. Two phases emerge. In the 1940s–50s, supervision—lodged in the Ministry of Finance—was weak, poorly staffed, and focused on enforcing banks’ oligopolistic interest rate agreements, reflecting regulatory capture. Following the 1959 Stabilization Plan, rising external pressure, domestic concerns about oligopolistic practices, and the 1962 Banking Law prompted reform. Supervision shifted to the Bank of Spain with the establishment of the Private Banking Inspection Service, resulting in more frequent inspections and gradual formalization of supervision. Archival records indicate that by the 1970s, inspections had become more frequent and rigorous, signaling a cautious shift toward risk-based oversight. However, the reforms remained incomplete. Persistent systemic vulnerabilities culminated in the severe banking crisis of 1977–1982, underlining the limitations of supervisory transformation under authoritarian rule.

Interactions between hyperelastic bio-membranes and fluid play a crucial role in the flight (or swimming) motion of many creatures, such as bats, flying squirrels and lemurs. Bio-membranes are characterised by high stretchability and micro-bending stiffness, leading to unique fluid–solid coupling properties (Mathai et al., 2023, Phys. Rev. Lett., vol. 131, 114003). This study presents a high-fidelity numerical exploration of the hyperelastic characteristics of a pitching foil inspired by bio-membranes in fluid within a low Reynolds number regime. The focus is on the effect of foil compliance on its self-propulsion performance, mimicking natural propulsion mechanisms, with the foil free to move in the horizontal direction. We find that with certain compliance, the foil may experience a velocity crisis, meaning that its propulsive capability is completely lost. This phenomenon is caused by the loss of beat speed when the foil’s passive deformation is out of phase with the pitching motion. By contrast, the two motions can be in phase at proper compliance, leading to an increased beat speed. This will significantly enhance propulsive velocity up to $33\,\%$ compared with the rigid case. The results demonstrate the feasibility of compliance tuning to circumvent the velocity crisis and improve the propulsive speed, which are helpful in the design of micro aerial robots using biomimetic membranes.