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Tech & Engineering

Updates every hour. Last Updated: 13-Jun-2026 06:15 ET (13-Jun-2026 10:15 GMT/UTC)

Mitigating nitrogen pollution in Taihu Lake: A multi-tracer approach to water management

Maximum Academic Press
Peer-Reviewed Publication

A research team applied a multi-tracer approach—combining hydrochemical indicators, dual stable isotopes, Bayesian models, and an N cascade model—to track the movement and transformation of nitrogen in the rural-urban ecotone.

Optimizing nitrogen use and reducing greenhouse gas emissions in calcareous soils: A study on the effectiveness of DMPP vs. biochar

Maximum Academic Press
Peer-Reviewed Publication

A research team conducted a study to evaluate the effects of various fertilization treatments on crop yield, nitrogen (N) uptake, nitrogen use efficiency (NUE), soil properties, and nitrous oxide (N₂O) emissions over two growing seasons.

Ammonia from pig farms fuels hidden nitrous oxide emissions through microbial nitrification

Maximum Academic Press
Peer-Reviewed Publication

A research team has revealed an overlooked climate feedback near intensive livestock farms: ammonia (NH₃) from pig production can significantly increase soil nitrous oxide (N₂O) emissions.

New method revolutionizes fabrication of superhydrophobic fabrics

Chinese Academy of Sciences Headquarters
Peer-Reviewed Publication

A research team led by Prof. DONG Zhichao from the Technical Institute of Physics and Chemistry of the Chinese Academy of Sciences has developed a new one-step fabrication strategy—termed MARS (Molecularly Assembled Robust Superhydrophobic Shell)—for producing superhydrophobic fabrics with stable mechanical performance under harsh conditions.

Journal: Nature Communications

AI assisted tool linked to improved stroke care and outcomes

BMJ Group
Peer-Reviewed Publication

A clinical decision support tool that uses artificial intelligence (AI) to analyse scans after a stroke alongside treatment recommendations is associated with better quality care and long term outcomes for patients compared with usual care, finds a study from China published by The BMJ today.

Journal: The BMJ
Funder: National Key Research and Development Program of China, National Natural Science Foundation of China, Beijing Municipal Administration of Hospitals’ Mission Plan, Ministry of Industry and Information Technology of the People's Republic of China, CAMS Innovation Fund for Medical Sciences, Beijing Ande Yizhi Technology Co.

New insights into biochar reveal how to better capture phosphorus and protect water systems

Biochar Editorial Office, Shenyang Agricultural University
Peer-Reviewed Publication

A new study uncovers how specially engineered biochar can more effectively capture organic phosphorus, offering a promising solution to reduce nutrient pollution while improving sustainable phosphorus use in agriculture.

Journal: Biochar

New biochar-based technology boosts antibiotic removal from water using low-energy ultrasound

Biochar Editorial Office, Shenyang Agricultural University
Peer-Reviewed Publication

Researchers have developed a new carbon-based material that dramatically improves the removal of persistent antibiotics from water, offering a promising and energy-efficient solution to a growing environmental challenge.

Journal: Biochar

Turning waste into a solution: micro-nano bone biochar boosts rice yield and cuts toxic cadmium

Biochar Editorial Office, Shenyang Agricultural University
Peer-Reviewed Publication

Researchers have developed a novel soil amendment made from animal bone waste that can both increase rice production and significantly reduce the accumulation of toxic cadmium in edible grains, offering a promising strategy for safer and more sustainable agriculture.

Journal: Biochar

New AI models could slash energy use while dramatically improving performance

Tufts University
Reports and Proceedings

AI and data servers consume more than 10% of the nation's energy output—and it’s expected to double by 2030.Seeking to head off an unsustainable path of power consumption, researchers have developed a proof-of-concept for efficient AI systems that could use 100 times less energy to train than current ones, while at the same time providing more accurate results on tasks