This paper presents the design and characterization of a unit cell for dual-polarized liquid crystal (LC)-based reconfigurable intelligent surfaces (RIS), as well as an efficient, full-wave simulation methodology for the far-field beam-steering capabilities of large-scale LC-RIS. Within this framework, the unit cell relies on defected delay lines with a 4.6 μm thin LC layer aperture coupled to a patch antenna. This delay line architecture aims towards simultaneous optimization of loss, bandwidth and response time. Full-wave simulations of the unit cell in a periodic environment show an operating frequency between 26.5 and 29.5 GHz with wide angle radiation. Measurements of the unit cell in a 3 $\times$ 3 rectangular grid exhibit wideband impedance matching and overall good agreement with simulations. Furthermore, a simulation methodology is introduced that evaluates large-scale LC-RIS far-field beam-steering capabilities without requiring full-wave simulations of the entire structure, but just few unit cells. Within this scope, the LC-RIS achieves a maximum efficiency of 20.8% with a beam-steering range from −48° to +48°, despite the use of a lossy glass substrate and gold as a conductor. It exhibits a minimum bandwidth of 8.2% for an efficiency of at least 10% across all analyzed steering angles in E-Plane and H-Plane.

The aim of this paper is to review the latest evidence on food reformulation as a public health policy to improve our understanding of how different policy designs can drive reformulation and influence food system change. The focus is on three key nutrients of concern—trans fatty acids, salt and sugar.

In recent times, food reformulation has been categorised as either mandatory or voluntary, a distinction that can help assess policy effectiveness. However, this binary classification oversimplifies a far more complex landscape. Some policies—whether mandated by government or voluntarily suggested to industry—are explicitly intended to trigger reformulation. Others, by contrast, may have never been designed with the intention to encourage reformulation but have nonetheless prompted significant changes in product composition, intake and potential health outcomes.

Within what is commonly described as mandatory reformulation, for example, we find a broad mix of policy tools that operate very differently. Some, such as the UK’s Soft Drinks Industry Levy, were deliberately created to incentivise reformulation by applying financial pressure. Others, including front of pack nutrition labelling systems (particularly warning labels) and school food standards have encouraged reformulation only as a positive unintended consequence. These indirect drivers are not always evaluated for their impact on reformulation, which may lead to an incomplete understanding of their contribution to reducing intake nutrients of concern and health outcomes.

Nevertheless, emerging evidence suggests no single policy encourages reformulation alone, instead a combination of approaches are likely to drive it and contribute to meaningful and sustained food system change.

We study quasi-stationary distributions and quasi-limiting behaviour of Markov chains in general reducible state spaces with absorption. First, we consider state spaces that can be decomposed into two successive subsets (with communication possible in a single direction), differentiating between three situations, and characterize the exponential order of magnitude and the exact polynomial correction, called the polynomial convergence parameter, for the leading-order term of the semigroup for large time. Second, we consider general Markov chains with finitely or countably many communication classes by applying the first results iteratively over the communication classes of the chain. We conclude with an application of these results to the case of denumerable state spaces, where we prove existence for a quasi-stationary distribution without assuming irreducibility before absorption, but only aperiodicity, existence of a Lyapunov function, and existence of a point with almost surely finite return time.

This study documents and analyzes arthropod trackways from the Upper Cretaceous Wapiti Formation, located in west-central Alberta, Canada. In general, the ichnotaxonomy of arthropod trackways is problematic due to inconsistent use of diagnostic criteria in previous studies. Thus, the trackways from the Wapiti Formation are described following recently defined criteria to facilitate future ichnotaxonomic reevaluations. Judging primarily from the number and morphology of the imprints and the symmetry of the track series, the trackways are identified as Octopodichnus cf. O. raymondi Sadler, 1993. Other relevant track attributes include heteropody and great imprint depth. The mudstone slabs bearing the trackways also contain other well-preserved invertebrate trace fossils along with abundant silicified plant material. The silicified plant fragments, taken together with bentonite overlying the trace-bearing surface, suggest volcanic ash played a role in preserving the trackways. The associated traces include burrows, fecal mounds, and surficial marks and contribute to a diverse invertebrate trace-fossil assemblage. The Wapiti Formation trackways are attributed to crayfish or similar decapods and were emplaced in a succession interpreted to have been deposited in a swampy floodplain environment. By contrast, previously described examples of Octopodichnus have typically been attributed to arachnids in aeolian/desert environments. This paper expands the ichnological record of crayfish-like arthropods from the Late Cretaceous and contributes to the underexplored invertebrate fossil record of the Wapiti Formation and, more broadly, Cretaceous strata in the Western Canada Sedimentary Basin.

The role of healthcare provider ownership in shaping health system performance remains contested. An umbrella review was conducted to synthesise evidence on the relationship between healthcare provider ownership and performance in high-income countries. Systematic reviews were included that examined performance of healthcare providers based on ownership status. Searches yielded 1,862 results, with 31 systematic reviews meeting the inclusion criteria, and one further systematic review identified through grey literature searches. Following the exclusion of 10 reviews classified as low-quality and two previous umbrella reviews both published in 2014, 20 reviews were eligible for data extraction and synthesis. Inconsistent evidence was found across reviews between healthcare provider ownership and several performance indicators including health outcomes, technical efficiency, and patient satisfaction. Private hospitals tend to serve wealthier patients, select less complex or costly patients, and charge higher payments for care than public comparators. Private for-profit (FP) providers of hospital and long-term care generally had poorer workforce outcomes than private not-for-profit or public providers, including reduced staffing levels, higher workloads, and lower job satisfaction. Private PF hospitals and nursing homes had improved financial performance based on revenues or profit margins. Our findings underscore the need for nuanced regulatory responses to the expansion of private FP provision within publicly funded systems.

Governments across the world are leveraging artificial intelligence (AI) to render services to citizens. Emerging economies are not left behind in this transformation but remain a gaping distance behind in their integration into public-sector service delivery compared to the private sector. To ensure the effective integration of AI services by government agencies to serve citizens, it is necessary to understand the constellation of factors driving user adoption of AI. Therefore, this study answers the question: how can government-initiated AI services be successfully accepted by citizens? Leveraging non-probability sampling, a snowball sample of 245 tertiary student-workers from across Ghana was surveyed to solicit their knowledge, attitudes, readiness, and use intentions towards AI-enabled government services. The data were analysed using FsQCA and complemented by PLS-SEM to confirm the findings. The findings reveal four unique configurations, summarised into two broad groups; AI enthusiasts and AI sceptics that drive AI adoption in government services. Positive readiness factors, such as knowledge of AI and optimism towards AI, characterise AI enthusiasts. In contrast, those described as AI sceptics still adopt government AI services despite their reservations and general distrust. AI sceptics are a delicate group that sit at the boundary between adoption and rejection, requiring special attention and strategies to orient them towards adoption. The study recommends effective education and trust-building strategies to foster AI adoption in government services. The findings are essential for driving the efficient implementation of AI-enabled services among working-class citizens in emerging economies.

Patients with chronic liver disease (CLD) often experience hypozincemia. The clinical factors associated with hypozincemia have not been established. We investigated clinical factors that may be useful to predict hypozincemia in patients with CLD. The serum zinc levels CLD patients were measured; Study 1 investigated the predictive factors of hypozincemia, and Study 2 was performed to validate the factors identified in Study 1. Study 1 included 197 participants, of whom 28 and 106 had serum zinc levels <60 µg/dL and <80 µg/dL, respectively. A multivariate analysis revealed that serum zinc levels <60 µg/dL or <80 µg/dL were associated with the albumin–bilirubin (ALBI) score and serum albumin level. A receiver operating characteristic curve analysis revealed that the ALBI score ≥ −1.83 and the serum albumin level ≤3.3 g/dL were the cut-off values for a serum zinc level <60 µg/dL, whereas the ALBI score ≥ −2.44 and the serum albumin level ≤3.6 g/dL were the cut-off values for a serum zinc level <80 µg/dL. In Study 2 (n = 177), the diagnostic accuracy rates for serum zinc <60 µg/dL were 81.9% for the ALBI score and 75.1% for the serum albumin level, and those for serum zinc <80 µg/dL were 70.1% for both parameters. Together these findings indicate that the ALBI score may serve as a predictive factor of hypozincemia in CLD patients.