A study from Shandong Technology and Business University uses game theory to explore rural distributed photovoltaic (PV) development from a prosumer lens. It identifies village-PV enterprise collaboration as key to scaling adoption, highlights the need to balance self-consumption and grid capacity to avoid curtailment, and provides targeted policy guidance for rural energy transitions.

Owing to the chaotic and non-integrable nature of three-body dynamics, the conventional Keplerian elements are rendered inadequate for cataloging cislunar space objects. Currently, there has been a conspicuous absence of universally recognized parameters for the characterization and cataloging of such objects, posing a significant impediment to effective cislunar space situational awareness. This research published in the Chinese Journal of Aeronautics proposes a novel approach to parameterize the orbits of the Earth-Moon collinear libration points by leveraging the theoretical frameworks of canonical transformations. Six characteristic parameters are established, which maintain a bijective correspondence with the state variables. Specifically, two parameters define the motion of the invariant manifold, while the remaining four parameters characterize the dynamics of the central manifold. Based on the parameters of central manifold, a situation map for depicting the distribution of libration point objects was developed, and its application in orbit identification was explored. This method furnishes novel instrumentation for enhanced space situational awareness and target cataloguing within the cislunar domain, enabling operators to effectively tag, track and manage cislunar objects with a compact, uncertainty-quantified parameter set.

The wide-speed-range vehicles have attracted significant attention due to the exceptional performance in autonomous aerospace operations. In a recent innovative study published in the Chinese Journal of Aeronautics, a double swept waverider employing novel vortex-wave coupling technology has addressed the fundamental compromise between high-speed shockwave management and low-speed vortex lift utilization. By integrating basic flow field design with an Improved Multi-Objective Cuckoo Search algorithm, this configuration achieves breakthrough wide-speed-range performance, laying a critical foundation for the development of horizontal take-off and landing aerospace vehicles.

The notion of employing detonation to enhance aerospace propulsion systems has been explored for several decades. In a recent breakthrough, a novel detonation engine known as the Ram-Rotor Detonation Engine has emerged. This innovative engine integrates the processes of propellant compression, detonation combustion, and expansion within a single rotor, enabling it to markedly enhance propulsion efficiency across a broad range of flight Mach numbers.

A key challenge in parallel adaptive Cartesian grid generation is significant computational load imbalance during k‑d tree searches. A new Dynamic Partition Weight approach, published in the Chinese Journal of Aeronautics (https://doi.org/10.1016/j.cja.2025.103921), solves this by predicting each cell’s required k‑d tree iterations and performing intelligent load rebalancing. This method enables the generation of billion‑cell grids for complex aircraft models in less than a minute, offering a breakthrough for high‑fidelity CFD simulations.

Great Bear Rainforest, BC. The Great Bear Lodge on the Central Coast of British Columbia is collaborating with internationally acclaimed science journalist Lesley Evans Ogden to host a nature writing retreat from May 31 - June 4, 2026. Small group size will ensure each participant benefits from individual focus and support, allowing instruction and skill development to be tailored to a range of abilities, from aspiring to experienced writers.

Researchers from the Optics Group at the Universitat Jaume I in Castellón have managed to correct in real time problems related to image aberrations in single-pixel microscopy using a recent technology: programmable deformable lenses. The new method was described by the research team in an open-access article recently published in Nature Communications and is part of the development of the European CONcISE project.

The solution proposed by this team combines an adaptive lens (which “shapes” the light wavefront in real time) with a sensor-less method that evaluates image sharpness directly from the data, without complex algorithms. This approach corrects distortions caused both by the system and by the sample itself, producing sharper images, close to the physical resolution limit, without adding complexity to the microscope.

This adaptive lens is known as a “multi-actuator adaptive lens” (M-AL), which can be easily integrated into the system without significantly modifying the traditional configuration of a single-pixel microscope based on structured illumination. These types of lenses consist of an optically transparent and deformable membrane (similar to a thin sheet of glass or polymer) that can change shape via actuators distributed around or behind it.