Published in Engineering, this report covers a Yangzhou University study repurposing FDA-approved anticancer drug 5-FU as an adjuvant to boost fosfomycin against hard-to-treat MRSA. The combination disrupts bacterial pyrimidine metabolism, triggering membrane damage and lethal oxidative stress. In vitro tests prove its anti-biofilm activity, while two animal infection models verify its safe, potent in vivo efficacy, offering a feasible strategy to revive old antibiotics against resistant pathogens.

This report features a multicenter One Health study published in Engineering, tracking apramycin-resistant Escherichia coli (AREC) across livestock chains and human populations in three Chinese cities. The transferable aac(3)-IV gene on IncHI2/IncHI2A plasmids drives cross-host resistance spread. Growing veterinary apramycin consumption lifts resistance prevalence, reminding authorities to prudently evaluate its potential human clinical application.

Published in Engineering, this report covers a tomato greenhouse trial from China Agricultural University. Researchers tested three irrigation wetting modes and used multiomics to reveal how reduced soil moisture fluctuations lift yield, vitamin C and lycopene while cutting irrigation water by 30%–35%. It explains the microbial and molecular regulatory mechanisms and offers a low-cost irrigation strategy for water-limited farmland.

Published in Engineering, this meta-analysis covering 154 papers systematically compares transgenesis (TG) and genome editing (GE) for animal trait improvement. GE delivers larger, wider-ranging gains in growth and disease resistance yet shows taxon-specific effects. Trait enhancements weaken with animal age and in F1 offspring. The findings offer evidence for lab technique refinement and agricultural biotechnology policy-making.

This report covers a China Agricultural University study published in Engineering, which builds a BDS-IMU aided multimodal feature framework for 3D farm obstacle detection. The system cuts training sample reliance by 30%–40%, hits an overall 96.01% F₁ score and 16.56 FPS. It maintains reliable perception for unseen zero-sample agricultural obstacles, effectively easing heavy data annotation burdens and balancing detection accuracy, real-time performance and data efficiency for farm machinery autonomous navigation.

Worried about hidden meat spoilage risks in cold chains? This new study in Engineering develops a microwave sensor paired with machine learning to spot ammonia, a key rot marker, without damaging meat samples. It fixes reading errors caused by shifting temperature and humidity, cutting detection error to only 0.06 ppm and boosting accuracy by 31.11%. The wireless device works up to 12 meters away, offering a practical tool for real-time fresh meat quality tracking across storage and transport.

Want a non-destructive way to map fruit internal quality? Researchers built a fully wavelength-tunable SFDI imaging system covering 450–1040 nm. This modular device captures wide-field, depth-resolved optical properties of peaches, apples and pears without mechanical scanning. It accurately predicts peach firmness and reveals uneven pigment and water distribution inside fruit flesh, offering a precise new optical tool for agricultural fruit quality inspection.

A research team has developed a visible-light photocatalyst that nearly doubled hydrogen production by decorating cadmium sulfide (CdS) nanoparticles with carbon quantum dots (CQDs) derived from cellulose.

With the rapid development of 6G space–air–ground integrated communication networks, low Earth orbit (LEO) satellite constellations, leveraging their advantages of wide-area coverage and freedom from geographic constraints, have become key infrastructure for achieving global seamless connectivity. However, due to the relative motion among satellites in different orbits, inter-satellite links (ISLs) exhibit periodic dynamic on–off characteristics, among which a portion of the interruptions are predictable topological changes. Conventional Open Shortest Path First (OSPF) protocols compute shortest paths solely based on link distance, without considering link effective duration or bandwidth constraints, rendering them inadequate for adapting to the dynamic topological characteristics of satellite networks. Although fast reroute strategies can address sudden link failures, they consume substantial bandwidth resources and cannot provide protection for all nodes across the entire network. Therefore, how to proactively switch service paths before predictable link interruptions occur, so as to minimize service disruption and resource overhead, has become a core issue in ensuring service continuity in LEO satellite networks.