Fully implanted miniature radio controller boosts cyborg insect mobility in challenging terrains
Peer-Reviewed Publication
Updates every hour. Last Updated: 29-Oct-2026 08:16 ET (29-Oct-2026 12:16 GMT/UTC)
A research paper by scientists from Nanyang Technological University developed a miniature wireless controller that is fully implantable to small insects and demonstrated that the implantation of electronic device enhances traversal performance of the cyborg cockroach.
The new research paper, published on May. 25 in the journal Cyborg and Bionic Systems, developed the first fully implantable miniature radio controller for the Madagascar hissing cockroach.
Shenzhen University researchers, with industry partners, developed a black phosphorus-based all-fiber photonic AI platform for medical diagnosis. Built around a microfiber knot resonator, a black phosphorus and molybdenum disulfide heterostructure, and a specialized architecture, the system enables low-power, high-speed optical computing. In clinical tests, it performed well in retinal detachment and liver cancer diagnosis, matching senior radiologists while greatly improving energy efficiency and latency. The work points toward scalable, sustainable photonic AI for healthcare applications.
Biochar, a charcoal-like substance made from biomass, offers a promising pathway for storing carbon in agricultural soils, helping to offset climate change. Despite its potential, the precise mechanisms, particularly the role of diverse microbial communities, influencing its long-term effectiveness remain poorly understood. A comprehensive analysis, published in Carbon Research, examines how biochar application impacts soil organic carbon (SOC) sequestration in Chinese croplands, shedding light on the critical interactions with soil microorganisms.
Researchers from Northwest A&F University compiled an extensive dataset from 90 prior studies conducted across China, incorporating 392 observations and over 2600 data points related to SOC and microbial characteristics. Their meta-analysis combined quantitative data extraction, geographical mapping, and linear mixed-effects modeling to spatially predict carbon sequestration rates and explore the nuanced responses of soil microbial communities to varying biochar application rates and durations. This robust approach allowed for a broad assessment of biochar's impact across diverse Chinese agricultural regions.
Paddy soils are critical ecosystems for global food security, yet also significant contributors to atmospheric greenhouse gases like methane and carbon dioxide. These unique wetland environments, characterized by prolonged flooding, play a complex role in the global carbon cycle. Scientists at the Guangdong Academy of Sciences and South China Normal University undertook a detailed investigation to understand the specific biogeochemical turnover of organic carbon fractions within these soils during flooding. This work aims to unravel the intricate mechanisms that govern carbon's fate, helping to predict and manage emissions from these vast agricultural lands.
The world faces an urgent challenge to achieve carbon neutrality, demanding innovative solutions for managing strategic gases like carbon dioxide (CO₂), methane (CH₄), and hydrogen (H2). CO₂ capture is vital for emissions reduction, CH₄ requires careful valorization and control due to its potent global warming impact, and H2 is rapidly emerging as a cornerstone of future energy systems. Metal–organic frameworks (MOFs), a class of porous materials recognized by the 2025 Nobel Prize in Chemistry, are rapidly changing possibilities for strategic gas management due to their exceptional tunability.
A new review in Carbon Research provides a critical and integrated assessment of MOFs' potential across these three domains. Led by Reda Elkacmi from Sultan Moulay Slimane University, the authors detail how MOFs’ unique attributes—including surface areas exceeding 6000 m² g⁻¹, tunable pore environments, and modular coordination chemistry—enable significant CO₂ uptakes, high methane storage capacities, and impressive hydrogen volumetric densities. These properties empower MOFs to address multiple environmental and energy challenges simultaneously.
A research team led by Qian-Yuan Tang from Hong Kong Baptist University and Weitong Ren from Wenzhou Institute, University of Chinese Academy of Sciences, has reviewed how artificial intelligence is shifting protein science from task-driven prediction toward principle-oriented discovery. They introduced a new concept of AI functioning as an observatory to explore the complex organization of proteins. Moving beyond mere prediction, this perspective leverages AI-derived signals to uncover underlying physical constraints, evolutionary patterns, and functional principles that shape protein structures and dynamics. By viewing AI models as tools for systematic observation, researchers can decode the organizational principles of proteins-paving the way for more informed bioengineering and therapeutic strategies.
A team from Tsinghua University reports Au–TiO₂ metasurfaces that convert visible light into singlet oxygen at high speed and extremely high local density. By combining quasi-BIC field confinement with hot-carrier transfer across an ultrathin interface, the device produces molar-level singlet oxygen locally within seconds, which is surprisingly ~10⁶ times that achieved by conventional approaches. Besides, the on-chip generator enables wavelength- and pixel-selective cytotoxicity for targeted tumor cell killing in photodynamic therapy.