Iron mining waste is produced from the iron ore mining operations of El Ouenza Mine (north-east Algeria), and it is not currently recycled to preserve the environment. The current study aims at developing sustainable clay bricks by mixing clay with different proportions of iron mining waste (ranging from 10 to 50 wt.%) and fired at 850°C and 950°C. Addition of 30 wt.% Iron mining waste had a positive effect on the physical and mechanical properties of the fired clay bricks. Linear shrinkage, water absorption and porosity were reduced, while compressive and flexural strengths were increased. Furthermore, up to 30 wt.% of iron mining waste addition to the mixtures improved compressive and flexural strengths to 59.17 and 10.06 MPa, respectively, when the bricks were fired at 950°C. According to their thermal conductivity, the bricks with 10–50 wt.% iron mining waste are considered as thermal insulators, with thermal conductivity values ranging from 0.45 to 0.56 W m–1 K–1. Adding 30 wt.% of iron mining waste can lead to the production of eco-friendly bricks with high mechanical and thermal properties, generating economic and environmental benefits.

Alors que la constitutionnalité de la Loi sur la laïcité de l’État était contestée devant la Cour supérieure du Québec, détournant les regards pour les orienter vers la question du port de symboles religieux dans la fonction publique, se jouait un autre enjeu de laïcité sur un terrain inattendu. Les politiques gouvernementales de gestion de la pandémie de COVID-19 allaient en effet mettre à l’épreuve deux principes aux fondements de la laïcité québécoise – la séparation des Églises et de l’État ; la liberté de conscience et de religion –, sans que ces atteintes ne soient diagnostiquées comme telles. Cet article se penche sur cet impensé des débats récents sur la laïcité québécoise à partir d’un rappel de ses fondements historico-juridiques, puis d’une analyse des effets du dispositif juridique mis en place pour lutter contre la COVID-19 sur l’autonomisation de l’État à l’égard du religieux et la liberté de conscience et de religion.

Generative artificial intelligence (GenAI) has been heralded by some as a transformational force in education. It is argued to have the potential to reduce inequality and democratize the learning experience, particularly in the Global South. Others warn of the dangers of techno-solutionism, dehumanization of learners, and a widening digital divide. The reality, as so often, may be more complicated than this juxtaposition suggests. In our study, we investigated the ways in which GenAI can contribute to independent language learning in the context of Pakistan. We were particularly interested in the roles of five variables that have been shown to be particularly salient in this and similar contexts: learners’ Generative Artificial Intelligence-mediated Informal Digital Learning of English (GenAI-IDLE) participation, AI Literacy, Foreign Language Enjoyment (FLE) and Foreign Language Boredom (FLB), and their second language Willingness to Communicate (L2 WTC). Employing a structural equation modelling approach, we surveyed 359 Pakistani English as a foreign language (EFL) learners to investigate their interrelationships between variables. The results demonstrate that EFL learners’ GenAI-IDLE activity directly and positively influences AI literacy and FLE. Students’ AI literacy and FLE play a chain-mediating role in the relationship between GenAI-IDLE participation and L2 WTC. However, FLB lacks predictive power over L2 WTC. We discuss the implications of these results for language learning, in particular in low-resource contexts.

In the realm of data-to-text generation tasks, the use of large language models (LLMs) has become common practice, yielding fluent and coherent outputs. Existing literature highlights that the quality of in-context examples significantly influences the empirical performance of these models, making the efficient selection of high-quality examples crucial. We hypothesize that the quality of these examples is primarily determined by two properties: their similarity to the input data and their diversity from one another. Based on this insight, we introduce a novel approach, Double Clustering-based In-Context Example Selection, specifically designed for data-to-text generation tasks. Our method involves two distinct clustering stages. The first stage aims to maximize the similarity between the in-context examples and the input data. The second stage ensures diversity among the selected in-context examples. Additionally, we have developed a batched generation method to enhance the token usage efficiency of LLMs. Experimental results demonstrate that, compared to traditional methods of selecting in-context learning samples, our approach significantly improves both time efficiency and token utilization while maintaining accuracy.

We prove two results concerning percolation on general graphs.

• • We establish the converse of the classical Peierls argument: if the critical parameter for (uniform) percolation satisfies $p_c<1$, then the number of minimal cutsets of size n separating a given vertex from infinity is bounded above exponentially in n. This resolves a conjecture of Babson and Benjamini from 1999.

• • We prove that $p_c<1$ for every uniformly transient graph. This solves a problem raised by Duminil-Copin, Goswami, Raoufi, Severo, and Yadin, and provides a new proof that $p_c<1$ for every transitive graph of superlinear growth.

A previous controlled study showed advantages of 2% Chlorhexidine Gluconate-Alcohol (CHG) over Povidone-Iodine-Alcohol in preventing infections after peripheral venous catheter placement. We applied these findings in a real-world before/after healthcare intervention and found that introduction of CHG disinfection was not associated with a major change of incidence in local skin complications.

Glide-snow avalanches release at the soil-snow interface and are currently difficult to predict. This is mostly due to a limited understanding of the release process and a lack of data, particularly of the snowpack and underlying soil conditions prior to release. Here, we synthesize the current process understanding on the source of interfacial water—a key factor in glide-snow avalanche release—in a simple explanatory model. The model classifies days with and without glide-snow avalanche activity using thresholds applied to proxies including snow liquid water content (LWC), soil temperature, soil LWC and meteorological parameters. These proxies were measured on Dorfberg (Davos, Switzerland) in the 2021/22 to 2023/24 seasons. The best-performing thresholds for the snow, soil and meteorological time series were determined through quasi-random sampling and were in line with previous field studies. Soil temperature and snow LWC were the most relevant variables to explain avalanche occurrence. These results demonstrate the importance of combining snow, soil and meteorological data for improving the forecasting of glide-snow avalanche activity.

Interfaces subjected to strong time-periodic horizontal accelerations exhibit striking patterns known as frozen waves. In this study, we experimentally and numerically investigate the formation of such structures in immiscible fluids under high-frequency forcing. In the inertial regime – characterised by large Reynolds and Weber numbers, where viscous and surface tension effects become negligible – we demonstrate that the amplitude of frozen waves scales proportionally with the square of the forcing velocity. These results are consistent with vibro-equilibria theory and extend the theoretical framework proposed by Gréa & Briard (2019 Phys. Rev. Fluids 4, 064608) to immiscible fluids with large density contrasts. Furthermore, we examine the influence of both Reynolds and Weber numbers, not only in the onset of secondary Faraday instabilities – which drive the transition of frozen wave patterns toward a homogenised turbulent state – but also in selecting the dominant wavelength in the final saturated regime.

Plastic pollution is a pervasive and urgent environmental issue, caused by our unsustainable use of single-use plastics (plastic items that are commonly discarded after one use). Many of these plastics are used in food packaging, frequently ending up in the environment. A potential solution to this problem is packaging reuse systems, meaning systems to incentivize consumers to return used packaging for refill (by charging a deposit) or appealing to environmentally conscious consumers to bring in their own packaging for shopping (e.g., in zero-waste stores). Deposit return systems (DRS) are well-established in several countries; however, they are often used for single-use packaging with the purpose to improve the recycling rate of plastic packaging (and therefore do not focus on reuse). Further, DRS mainly apply to beverages, not solid food containers. Nevertheless, they are well-studied systems, highlighting key concerns for the implementation of innovative solutions to keep packaging waste out of the environment (e.g., aspects of hygiene, transport and logistics, brand identity and consumer behavior). In this study, we explore how packaging reuse systems are implemented for solid and semi-solid food products by two organizations (one in Canada and the other in Germany) concerned with reducing plastic waste in the food sector.

On 27 October 2021, Cambridge University’s Jesus College commemorated the historic return to Nigeria of the bronze statue of a cockerel called “Okukur.” This was looted from the ancient Kingdom of Benin in 1897 by British colonizers. The college resolved to relinquish ownership to the Oba, who is the cultural, religious, and legal head of Benin. On 23 March 2023, Nigeria’s President Muhammadu Buhari decreed that the “ownership of the artefacts… is vested in the Oba.” The genesis of this order was controversies about the ownership, control, and management of returning objects. This article analyzes the role of the traditional institution of governance in the socio-legal politics of cultural heritage restitution in Nigeria. Building on the traditional leadership’s claims on the returned artworks, it explains the need to use the momentum of restitution to evaluate and improve the effectiveness of the national and international legal systems to protect cultural heritage.

eSource – particularly EHR-to-EDC – is an emerging paradigm in clinical research that enables automated transfer of electronic health record (EHR) data into electronic data capture (EDC) systems, with the potential to reduce site burden, improve data quality and accelerate oncology clinical trial workflows. However, widespread implementation remains limited due to technical, regulatory and operational barriers. To address these challenges, the European Institute for Innovation through Health Data (i~HD) launched the eSource Scale-Up Task Force in 2024. This multi-stakeholder initiative brings together leading oncology centres and pharmaceutical sponsors to establish a consensus-driven roadmap for eSource adoption. Central to this effort are three foundational resources: readiness criteria for early adopters, a performance indicator framework for monitoring success and an operational playbook to guide implementation. This article provides a structured overview of the Task Force’s objectives, collaborative model and outputs, with specific attention to its focus on interoperability, regulatory alignment and real-world validation. While initially developed for oncology, the Task Force’s framework is applicable across therapeutic areas characterized by data-intensive workflows.

This cross-sectional study examined the association between diet price and diet quality in a national sample of Australian adults (n 1956). Diet recall data from the 2020 International Food Policy Study were linked to a national food and beverage price dataset. Daily diet price was calculated by summing the median non-promotional prices of all foods and beverages recorded in diet recall data, priced per gram (or millilitre) and adjusted for edible portions. Diet quality was determined using the Australian Dietary Guideline Index 2013 (scored out of 115). Linear regression models tested the association between the diet price (per dollar and per ten-dollar increments) and diet quality, adjusted for education, age and sex. A positive association was observed, where diet quality increased by 0·09 units (95 % CI 0·05, 0·14) for every $AU 1 increase in diet price. Daily diet price explained approximately 8 % of the variation in diet quality across the sample (R2 = 0·08). When categorised in ten-dollar increments, participants with diet prices < $AU 10/d had a lower mean diet quality score (51·96) compared with all other diet price categories, 5–6 points lower than those whose diet was > $30/d. Diet price appeared to be a modest yet significant determinant of diet quality for Australian adults in 2020. Additional analyses are needed to investigate these associations during recent food inflation. As diet quality appears to be lowest for people who spend the least on food, government action to increase priority communities’ food budgets may help improve the nutritional quality of population diets.

Shift work-induced circadian disruption has been linked to various cardiometabolic diseases, including obesity, diabetes and CVD. Limited studies have explored the impact of different variables such as night work durations, intensities and chronotype on cardiometabolic risk. This study aimed to determine the impact of circadian disruption on cardiometabolic risk markers in shift workers. This case–control study was conducted with 104 male workers (shift workers; n 52, mean age; 43·3 (sd 10·2), and non-shift workers; n 52, mean age; 41·2 (sd 9·8)). Shift work details were determined via an interviewer-administered questionnaire. Cardiometabolic risk was evaluated through anthropometric (height, weight, waist circumference and body composition), biochemical (fasting glucose and lipid profile), clinical (blood pressure) and dietary assessment (24-h recalls from working and non-working days). The chronotype was determined via the Munich Chronotype Questionnaire (MCTQ). Shift workers had significantly higher mean body fat percentage (31·7, 22·7 % P = 0·031), systolic blood pressure (SBP) (138·6, 128·5 mmHg P = 0·009), pulse rate (78·7, 72·3 bpm P = 0·015), TAG (1·60, 1·30 mmol/l P = 0·021) and LDL-cholesterol (3·90, 3·40 mmol/l P = 0·012) than non-shift workers. Evening chronotype shift workers had significantly higher visceral fat levels (12·8, 8·90 P = 0·001), SBP (137·0, 127·6 mmHg P = 0·006), pulse rate (82·7, 73·3 bpm P = 0·005) and LDL-cholesterol (4·00, 3·40 mmol/l P = 0·039) than shift workers with a morning chronotype. In conclusion, shift workers exhibited higher metabolic risk markers than non-shift workers. Shift workers with evening chronotypes had higher cardiometabolic risk than morning chronotypes. Further research is warranted to elucidate the underlying mechanisms and inform targeted interventions for individuals engaged in shift work, considering chronotypes.

We study the mechanics of evaporation and precipitate formation in pure and bacteria-laden sessile whole blood droplets in the context of disease diagnostics. Using experimental and theoretical analysis, we show that the evaporation process has three stages based on evaporation rate. In the first stage, edge evaporation results in a gelated contact line along the periphery through a sol–gel phase transition. The intermediate stage consists of a gelated front propagating radially inwards due to capillary flow and droplet height regression in pinned mode, forming a wet-gel phase. We unearthed that the gelation of the entire droplet occurs in the second stage, and the wet-gel formed contains trace amounts of water. In the final slowest stage, the wet gel transforms into a dry gel, leading to desiccation-induced stress forming diverse crack patterns in the precipitate. Slow evaporation in the final stage is quantitatively measured using evaporation of trace water and associated transient delamination of the precipitate. Using the axisymmetric lubrication approximation, we compute the transient droplet height profile and the erythrocytes concentration for the first two stages of evaporation. We show that the precipitate thickness profile computed from the theoretical analysis conforms to the optical profilometry measurements. We show that the drop evaporation rate and final dried residue pattern do not change appreciably within the parameter variation of the bacterial concentration typically found in bacterial infection of living organisms. However, at exceedingly high bacterial concentrations, the cracks formed in the coronal region deviate from the typical radial cracks found in lower concentrations.