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First-principles and machine-learning approaches for interpreting and predicting the properties of MXenes

MXenes are a versatile family of 2D inorganic materials with applications in energy storage, shielding, sensing, and catalysis. This review highlights computational studies using density functional theory and machine-learning approaches to explore their structure (stacking, functionalization, doping), properties (electronic, mechanical, magnetic), and application potential. Key advances and challenges are critically examined, offering insights into applying computational research to transition these materials from the lab to practical use.

Optimization of valve switch control for contamination detection in water distribution network

As the urban population increases, the consumption of water resources is also increasing. Safely and effectively supplying water to cities has become an issue that urgently needs to be addressed. The purpose of this research is to substantially reduce the number of contaminants in water distribution networks (WDNs) by using valve control, ensuring that the water infrastructure is not impacted by the adverse effects of wastewater. In addition, an improved parallel binary gannet algorithm (IPBGOA) is proposed and combined with this approach to solve the optimization problem of WDN contamination efficiently. The proposed method is compared with the gannet optimization algorithm (GOA), particle swarm optimization (PSO), differential evolution (DE), the grey wolf optimization (GWO), and the genetic algorithm (GA) on synthetic benchmark networks in simulation experiments. The evidence from the study indicates that the algorithm proposed in this paper is significantly more efficient and reliable than the comparison methods.

Diagnosis and genomic characterization of the largest western equine encephalitis virus outbreak in Uruguay during 2023–2024

The Western equine encephalitis virus is transmitted between mosquitoes and wild birds. Mosquitoes spread the virus to horses and human populations, causing severe encephalitis and death. The most recent large outbreak occurred in South America from November 2023 to April 2024. We identified and genetically characterized Uruguayan strains during this outbreak to understand their evolutionary trends and rapid expansion. We obtained genomes from 15 strains using a novel multiplex PCR assay combined with next-generation Illumina sequencing. The phylogenetic analysis revealed that viruses from Uruguay and Brazil collected during the outbreak and an Argentine strain from 1958 share a common evolutionary origin and are distinct from North American strains. Phylogenetic and epidemiological data suggest that the outbreak originated in Argentina and spread to Uruguay and Brazil, likely by movements of infected birds. Genomic analysis also revealed mispairing in real-time PCR primers and probes that may affect official diagnostic protocols.

Solar-driven interfacial evaporation technologies for food, energy and water

Solar-driven interfacial evaporation technologies use solar energy to heat materials that drive water evaporation. These technologies are versatile and do not require electricity, which enables their potential application across the food, energy and water nexus. In this Review, we assess the potential of solar-driven interfacial evaporation technologies in food, energy and clean-water production, in wastewater treatment, and in resource recovery. Interfacial evaporation technologies can produce up to 5.3 l m–2 h−1 of drinking water using sunlight as the energy source. Systems designed for food production in coastal regions desalinate water to irrigate crops or wash contaminated soils. Technologies are being developed to simultaneously produce both clean energy and water through interfacial evaporation and have reached up to 204 W m–2 for electricity and 2.5 l m–2 h–1 for water in separate systems. Other solar evaporation approaches or combinations of approaches could potentially use the full solar spectrum to generate multiple products (such as water, food, electricity, heating or cooling, and/or fuels). In the future, solar evaporation technologies could aid in food, energy and water provision in low-resource or rural settings that lack reliable access to these essentials, but the systems must first undergo rigorous, scaled-up field testing to understand their performance, stability and competitiveness.

BREATHLEssness in INDIA (BREATHE-INDIA): realist review to develop explanatory programme theory about breathlessness self-management in India

Breathlessness is highly prevalent in low and middle-income countries (LMICs). Low-cost, non-drug, breathlessness self-management interventions are effective in high-income countries. However, health beliefs influence acceptability and have not been explored in LMIC settings. Review with stakeholder engagement to co-develop explanatory programme theories for whom, if, and how breathlessness self-management might work in community settings in India. Iterative and systematic searches identified peer-reviewed articles, policy and media, and expert-identified sources. Data were extracted in terms of contribution to theory (high, medium, low), and theories developed with stakeholder groups (doctors, nurses and allied professionals, people with lived experiences, lay health workers) and an International Steering Group (RAMESES guidelines (PROSPERO42022375768)). One hundred and four data sources and 11 stakeholder workshops produced 8 initial programme theories and 3 consolidated programme theories. (1) Context: breathlessness is common due to illness, environment, and lifestyle. Cultural beliefs shape misunderstandings about breathlessness; hereditary, part of aging, linked to asthma. It is stigmatised and poorly understood as a treatable issue. People often use rest, incense, or tea, while avoiding physical activity due to fear of worsening breathlessness. Trusted voices, such as healthcare workers and community members, can help address misconceptions with clear, simple messages. (2) Breathlessness intervention applicability: nonpharmacological interventions can work across different contexts when they address unhelpful beliefs and behaviours. Introducing concepts like “too much rest leads to deconditioning” aligns with cultural norms while promoting beneficial behavioural changes, such as gradual physical activity. Acknowledging breathlessness as a medical issue is key to improving patient and family well-being. (3) Implementation: community-based healthcare workers are trusted but need simple, low-cost resources/skills integrated into existing training. Education should focus on managing acute episodes and daily breathlessness, reducing fear, and encouraging behavioural change. Evidence-based tools are vital to gain support from policymakers and expand implementation. Breathlessness management in India must integrate symptom management alongside public health and disease treatment strategies. Self-management interventions can be implemented in an LMIC setting. However, our novel methods indicate that understanding the context for implementation is essential so that unhelpful health beliefs can be addressed at the point of intervention delivery.

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