Wastewater is no longer just a stream to clean and discharge. 

Infectious diseases remain a major global health challenge, particularly in resource-limited settings where poverty increases disease burden and limits access to healthcare. To accelerate research and knowledge exchange, Infectious Diseases of Poverty provides a global interdisciplinary platform for prevention and control strategies. Now, the journal has achieved a 2025 Impact Factor of 7.4, ranking among the world's leading journals in tropical medicine, parasitology, and infectious diseases while promoting international scientific collaboration.

A new species of toothed toad has been discovered in the Wumeng Mountain National Nature Reserve in Yunnan Province, China, marking the first new addition to the genus Oreolalax from the province in over 36 years. 

Insects have evolved remarkable ways to avoid predators, with plant mimicry among the most effective. Many living and extinct insects resemble twigs, bark, mosses, lichens or leaves, allowing them to blend seamlessly into their surroundings.

Microplastic pollution is not only a question of how much plastic is in the ocean, but also when fish meet it. A global analysis now suggests that reproductive seasons can turn familiar contamination into a sharper ecological threat. By bringing together seawater observations, fish microplastic burden records, reproductive traits and environmental data, the study shows that spawning windows often overlap with pollution hotspots and co-occurring chemical contaminants. 

Currently, the treatment for moyamoya disease (MMD), a condition characterized by the blockade of the internal carotid artery, is revascularization surgery. However, this surgery can lead to cerebral ischemia for which limited predictive tools are available. Now, a group of Chinese researchers identified preoperative blockage of the major intracranial arteries as a risk factor for cerebral infarction after combined revascularization surgery in MMD, paving the way for the development of novel prediction protocols.

Researchers analyzed snow droughts in Xinjiang from 1980 to 2021 and classified them into warm-only, dry-only, and warm-dry types. The study identifies strong spatial heterogeneity, highlights the Kunlun Mountains as a major hotspot, and shows that warm-dry snow droughts increased markedly after 2000.

Researchers have developed a single machine-learning turbulence model that predicts a wide range of turbulent flows—without the manual zoning, switching, or tuning that conventional models require. Led by researchers at the University of Stuttgart, the work advances a long-sought goal in computational fluid dynamics: a unified turbulence model that handles many flow mechanisms within one framework. Details of the findings were published in National Science Review.