Under the combined influences of climate change and human activities, the runoff processes in a watershed exhibit significant non-stationarity and multi-scale characteristics, posing challenges to water resource allocation and reservoir management. This study focuses on Linqi Reservoir, located in the former Yellow River course in Shangqiu City, Henan Province. Using monthly runoff data from 1980…

This study presents a comprehensive 25-year chronology of air pollution and climatic variable disparity across seven SAARC nations—Afghanistan, Bangladesh, Bhutan, India, Nepal, Pakistan, and Sri Lanka—emphasizing the region’s developing burdens of fine PM2.5 and SO2 from 2000 to 2024. MODIS and MERRA-2 data are used for a regional-scale analysis of seasonal, annual, and inter-annual variations i…

Short-term forecasting of the Air Quality Index (AQI) can support public health risk management and real-time environmental decision-making. In this study, we propose a multivariate, one-step-ahead time-series forecasting approach based on a Transformer encoder. The model predicts the AQI at the next time point using an observation sequence within a fixed historical window (five time steps in thi…

In light of global climate change and carbon-neutrality targets, carbon emissions from the manufacturing sector and the development of the new energy vehicle (NEV) industry have become central to policy agendas worldwide. NEV industry policies are a key instrument for enhancing manufacturing carbon-emission efficiency. Using provincial panel data from 30 Chinese provinces over 2010–2023, this stu…

BackgroundWaste management in developing countries is a significant governance challenge that hinders progress toward the SDGs. Despite policy efforts and aid, implementation gaps persist, characterized by fragmented institutions, exclusionary formalization, and the marginalization of the informal recycling sector, which is essential to waste systems.ObjectiveThis review explores how policy integ…

The improper disposal of COVID-19-related waste, such as masks, gloves, and personal protective equipment, has contributed to the release of nano-plastics, which degrade into nano-sized particles, posing severe environmental risks. Understanding the impacts of these nano-level particles is essential for mitigating long-term ecological harm. A comparative analysis was conducted to evaluate the eff…

Promoting energy economic transition is a critical pathway for achieving high-quality economic growth and improving total factor productivity (TFP), especially in the context of China’s carbon peaking and carbon neutrality goals. Based on panel data of Chinese prefecture-level cities, this study constructs a comprehensive index to measure the level of energy economic transition and empirically ex…

Nature Communications, Published online: 13 May 2026; doi:10.1038/s41467-026-72891-x Modified RNA bases can improve therapeutics, but their structural effects are unclear. Here, the authors show that common base modifications reshape RNA folding and activity by shifting tertiary interactions in a synthetic RNA nanostructure and a natural ribozyme.

Some flights are less than 100 miles, and they're the backbone of the U.S. air system, linking small towns and big cities. But short routes were in decline even before jet fuel costs spiked.

What form of government do we have in America now? Some scholars say it is no longer liberal democracy, but "competitive authoritarianism." NPR's Frank Langfitt explains the term and its origin.

At least 15 former elected officials and co-conspirators with corruption offenses have been pardoned by President Trump in the last year, undermining the fight against public corruption.

Table of contents Cursor as a shared environment for the customer and the developer What if you showed the customer how to work with Cursor and use AI agents? The first layer of the experiment is not code, but the environment SSH: first you need to agree where development actually lives Linux users and ACLs. Order should not depend on promises Workspace is not just a folder, but the shared contex…

Implementing SLO-Based Alerting with OpenTelemetry and Prometheus The Problem In microservices architectures, distributed tracing and monitoring are crucial for identifying performance bottlenecks and latency sources. However, traditional threshold-based alerting can lead to alert fatigue, making it challenging for engineers to prioritize and address critical issues. Moreover, the lack of a clear…

Let me say something that will make most security vendors uncomfortable: The traditional "know your attacker" model is already obsolete. Not because threat actors got smarter. Because they stopped existing. For years, threat intelligence ran on a simple premise: behind every attack is a human. Find the human their habits, their language, their operational patterns, their mistakes and you find the…

Research indicates women with endometriosis may face a higher risk of congenital anomalies in infants, emphasizing the need for further investigation.

Collaboration to accelerate adoption of tokenized investments, integrate BENJI (FT’s suite of global tokenized money market funds) and co-design a new suite of tokenized yield products. We’re excited to announce a strategic collaboration with Franklin Templeton, a global investment manager and leader in digital asset innovation, to bring traditional financial products onchain and expand their uti…

Scientific Reports, Published online: 13 May 2026; doi:10.1038/s41598-026-53062-w Hessian-guided mixed-precision quantization of vision transformers under hardware constraints

Scientific Reports, Published online: 13 May 2026; doi:10.1038/s41598-026-52798-9 Students prefer personalized, AI-generated educational videos over non-personalized, human-recorded videos

Scientific Reports, Published online: 13 May 2026; doi:10.1038/s41598-026-52567-8 Sustainable biodiesel from Mesua ferrea seed oil using explainable machine learning for engine performance evaluation and emission profiling

Scientific Reports, Published online: 13 May 2026; doi:10.1038/s41598-026-52842-8 Uncertainty-aware temperature field reconstruction from sparse samples and sensing via latent-space enhancement for GIS digital twin applications