Adaptive sampling for efficient Lamb wavefield reconstruction in composite laminates with Spatial-Temporal Masked AutoEncoder.

Integrated transcriptomic and proteomic insights into low-salinity stress adaptation in Penaeus monodon.

Divergent mechanisms of hypoxia tolerance in zebrafish (Danio rerio) and Nile tilapia (Oreochromis niloticus).

Photoaging microplastics as ecological architects of antibiotic resistance dissemination in aquatic sediments: Shifting bacterial adaptation from metabolic regulation to invasive phenotypes.

Resilient simultaneous nitrification and denitrification in extreme industrial environments: Mechanisms, adaptive strategies, and future perspectives.

Insights into factors motivating individual adaptation are needed to reduce flood damage, especially in lower-income countries. According to key behavioral theories, adaptation intention leads to behavior and is, therefore, often used as a proxy for implementation. Empirical studies, however, report substantial intention‒behavior gaps (i.e., the percentage of intended actions unrealized) and limited predictive power of models built on these theories. The literature suggests that intention strength, which captures levels of commitment, could better predict behavior but has not been tested in the flood risk domain. Moreover, several predictors might influence intention and actual behavior differently or might even influence behavior independently. Studying the intention‒behavior relationship could thus help increase the theories' predictive power. Investigating the intention‒behavior relationship is challenging due to the lack of longitudinal surveys that capture behavior over time. Here, we deploy intention strength in a two-wave longitudinal survey among 401 randomly selected respondents from Vietnam (95% retention rate) to examine the intention‒behavior relationship in preparing devices and retrofitting homes against flooding. We find that >90% of intended adaptive actions indicated by respondents in Wave 1 went unrealized within 6 months. Intention strength seems unimportant for preparing devices, whereas the strongest intention significantly correlates with higher implementation of retrofitting homes. Studies using intention as a proxy for behavior could, therefore, consider intention strength instead. We also find various factors significantly motivating behavior but not intention, including financial capacity, experiencing large floods regularly, and housing situation. Policymakers, therefore, should focus more on these factors when considering adaptation strategies. Future research in other settings could contextualize the adjustment to behavioral theories.

'Failure to rescue' remains a critical challenge in acute care globally. Despite the implementation of rapid response systems and early warning scoring tools, adverse outcomes persist especially out-of-hours - defined as night and weekends - when patient morbidity and mortality is higher. The underlying causes of this disparity remain poorly understood. Timely recognition and escalation of clinical deterioration are essential to prevent harm, with nursing staff playing a vital role. However, significant gaps persist in understanding the determinants to escalation out-of-hours. To synthesise existing literature addressing the question: What are the determinants of nursing staff escalating care for clinically deteriorating patients out-of-hours? Embase, Medline, PsycINFO and CINAHL. A systematic mixed-methods review was conducted, covering studies published up to May 2025. Eligible studies examined nursing staff recognition and response to clinical deterioration out-of-hours in adult inpatient wards. Quality appraisal used Critical Appraisal Skills Programme, Newcastle-Ottawa Scale, and the Mixed Methods Appraisal Tools. Data synthesis followed the Joanna Briggs Institute Convergent Integrated Approach. Of 3085 records screened, 26 studies met inclusion criteria (n=18 quantitative, n=7 qualitative, n=1 mixed methods). Most were of moderate to high quality, though limitations in recruitment and reporting were noted. No study exclusively examined the determinants of nursing staff behaviour in escalating care out-of-hours, making this the first comprehensive review on the subject. Five key determinants of behaviour were identified: (1) The unique challenges and workarounds of the 'hospital at night', (2) Workforce composition and team dynamics out-of-hours, (3) Organisational oversight and adaptive strategies, (4) Clinical nursing workflow and supporting resources, (5) Individual determinants of behaviour, strengths and limitations. This review underscores the complex interplay of determinants influencing nursing staff escalation out-of-hours, highlighting the urgent need for targeted interventions to enhance patient safety. Increasing psychological safety, integrating automated vital signs monitoring technologies, and redesigning communication pathways may strengthen clinical decision-making and teamwork. Staffing models and skill-mix require reassessment to reflect out-of-hours challenges. Future research should prioritise feasible, context-sensitive interventions informed by behavioural and human factors science. By advancing these strategies, healthcare organisations can mitigate out-of-hours risks and deliver safer, more effective patient care. https://www.crd.york.ac.uk/PROSPERO/ CRD42024500837, registered 10/January/2024.

From scarcity to abundance: Adaptive strategies in adenosine triphosphate-binding cassette transporter function.

Impacts of climate change on water resources and farming community adaptation strategies in southwestern Ethiopia

Lichtenberg drinking water reservoir, Germany. Coupled hydrological-hydrodynamic modeling is used to evaluate an adaptation strategy for the dimictic Lichtenberg reservoir under climate warming in a realistic operational setup. An ensemble of three one-dimensional lake models, coupled with a rainfall-runoff model, simulated reservoir thermal dynamics through the end of the century under RCP2.6, RCP4.5, and RCP8.5, comparing current and adapted management. The current management strategy releases cold water from near the reservoir bottom to the downstream river, facilitating downward heat transfer within the reservoir. Under this strategy, the ensemble predicted consistent increases in surface and deep water temperatures, highest under RCP8.5 at 0.4 and 0.1 K/decade, respectively. To mitigate this impact, the water release depth to the downstream river is shifted closer to the surface. Surface water temperature, which is primarily driven by meteorology, was insensitive to this strategy. Conversely, the adapted strategy kept deep water isolated through thermal stratification for a longer period and reduced its temperature by about 1.5 K over time and across climate scenarios. This prevented early-summer hypolimnetic depletion and increased the availability of cold deep water for drinking water production. Epilimnetic withdrawal thus emerges as an effective, operationally feasible measure to help preserve water quality and supply in dimictic reservoirs under climate change. • Epilimnetic withdrawal counteracts hypolimnetic warming in a dimictic reservoir. • Coupled hydrological-hydrodynamic ensemble simulation reduces uncertainty. • Reproducing site-specific operation improves simulation realism and applicability.

Large language models for history, philosophy, and sociology of science: Interpretive uses, methodological challenges, and critical perspectives.

Temperature changes and agricultural performance linkage: Evidence from Africa

Defying environmental failure in hydrogel electronic skins: Composite engineering strategies for extreme adaptability

Cognitive behavioral therapy effects on global functioning, domain-specific functioning, and quality of life in adult ADHD: A comprehensive meta-analysis.

Functional nanoplatforms overcoming immune resistance in skin cancers: Targeted immunomodulation, immunogenic cell death, and metabolic remodeling.

Arctic permafrost coasts are among the most dynamic and vulnerable shorelines worldwide, where climate-induced thawing processes drive rapid coastal erosion. These changes jeopardize critical infrastructure and exacerbate maintenance challenges for engineering systems in cold regions. Traditional monitoring approaches, primarily relying on optical remote sensing, are hindered by persistent cloud cover and poor temporal resolution, limiting their capacity to capture the dynamic and heterogeneous nature of shoreline changes. In response to these challenges, this study harnesses recent advances in synthetic aperture radar (SAR) technology, particularly submeter resolution microsatellite SAR imagery, to evaluate summertime shoreline dynamics along a highly erosive permafrost coast near Drew Point, Alaska. The research employs a multitemporal analysis framework to extract high-precision shoreline positions from seven microsatellite Umbra SAR images acquired twice a week during the open-water period (June to October) in 2023, complemented by nine conventional Sentinel-1 SAR images. A robust statistical comparison reveals a maximum shoreline change envelope of 64.89 m, with a strong positive correlation between the high-resolution and the conventional SAR-derived estimates, especially in areas of substantial erosion. The study highlights the superior capacity of microsatellite SAR to detect minor coastal changes that are often obscured in coarser resolution data sets. Furthermore, the findings underscore the critical implications of engineering for infrastructure resilience and design in regions affected by permafrost. Enhanced monitoring of shoreline dynamics using high-resolution SAR provides a foundation for proactive risk assessment, adaptive design strategies, and improved maintenance practices in cold region engineering. This study showcases the transformative potential of integrating emerging satellite technologies into engineering solutions essential to safeguarding Arctic infrastructure under a changing climate.

Short-term seed banking enables adaptive, multi-year seeding strategies in grassland restoration

Preference for solitude modulates anterior insula responses to social exclusion.

Federated learning (FL), as a decentralized machine learning paradigm, emerges as a pivotal approach to addressing the ecological challenges posed by traditional IoT systems. While existing research extensively explores FL in smart cities and healthcare, its potential for fostering sustainable IoT practices remains underexplored. This review fills this gap by exploring how FL can help in lowering the amount of carbon footprint and energy use of centralized IoT infrastructures. In comprehensive analyses, this study highlights the integration of FL with green computing concepts, it’s usage in various fields, including environmental monitoring and smart grids, and how it can interact with blockchain technology. Across selected case studies, federated learning is reported to improve runtime- or compute-related efficiency and predictive performance in specific environmental sensing settings, and FL–blockchain designs in smart-city settings are reported to reduce latency under the studied simulation assumptions. Despite these advancements, challenges like data heterogeneity, resource limitations, and privacy concerns exist. Proposed solutions include lightweight FL models, secure aggregation protocols, and adaptive resource allocation strategies. This review underscores FL’s transformative role in achieving a sustainable IoT ecosystem and identifies future research directions for robust and scalable green IoT implementations. • Federated Learning reduces IoT carbon footprint and energy consumption significantly. • Blockchain integration enhances data-sharing security and reduces latency by 20–30 ms. • FL improves computational efficiency up to 7.3 times and accuracy by over 13.2%. • Data heterogeneity and limited resources hinder the integration of FL in green IoT. • Lightweight FL models and secure protocols enhance efficiency and scalability.

Planted forests in dry Mediterranean regions are increasingly threatened by extreme climatic events, making adaptive management strategies such as thinning and underplanting essential. To apply these restoration practices at large scales, it is necessary to understand how different tree species respond to varying thinning intensities. This study evaluated the performance of seedlings from four late-successional, resprouting Mediterranean broadleaf species — Acer monspessulanum L., Quercus pyrenaica Willd Sorbus torminalis (L.) Crantz, and the evergreen Quercus ilex L. subsp. ballota (Desf.) Samp— underplanted along a canopy openness gradient created by thinning treatments in a 50-year-old Pinus pinaster plantation. Four thinning treatments were compared: no thinning (control), moderate thinning from below (20% basal area reduction), heavy thinning from below (35%), and heavy thinning from above (35%), leaving 28.7, 24.9 and 23.2 m 2 ·ha −1 residual basal area, respectively. Thinning significantly increased light availability, throughfall, and soil moisture, with most improvements occurring under moderate thinning. Soil water availability increased at deeper soil layers in all thinned stands, while shallow soil moisture improved mainly under moderate thinning. After five years, seedling survival was high (>80%) across all species and generally increased with greater canopy openness. Quercus pyrenaica and Q. ilex showed the strongest positive response in survival to increased canopy opening, whereas A. monspessulanum and S. torminalis were less affected, likely due to differences in functional traits. Seedling growth was also enhanced by thinning, reaching maximum rates under moderate thinning, with S. torminalis exhibiting the highest growth and A. monspessulanum the lowest. Improved seedling performance under thinning was associated with reduced summer water stress and higher photochemical efficiency during dry periods. Overall, the study demonstrates that moderate thinning creates optimal environmental conditions for the facilitation of underplanted seedlings and provides guidelines for promoting structural and species diversification in Mediterranean pine plantations. • Thinning increases resources and the performance of underplanted seedling. • Seedling water and photosynthetic stress is alleviated under moderate thinning. • Response of underplanted seedlings to canopy openness is species-specific. • Thinning and species mixing speeds the conversion of monospecific pine plantations.