The study reveals that OIF promotes marine carbon sinks by adding iron to “high-nutrient, low-chlorophyll” marine regions (e.g., the Southern Ocean), which enhances the photosynthesis of surface phytoplankton and thereby increases marine carbon sinks. In contrast, AOA improves seawater alkalinity by adding alkaline materials (such as limestone) to the ocean; through carbonate chemical processes, this method drives the ocean to absorb more CO₂ from the atmosphere.

A recent review published in MedComm delves into the molecular and genetic factors driving breast cancer and how the latest advancements in targeted and precision therapies are revolutionizing patient outcomes. The study highlights molecular profiling, AI-driven drug discovery, and adaptive clinical trial designs as crucial tools in addressing therapy resistance and recurrence.

Researchers in China have developed ultra-low voltage optoelectronic polymer memristors capable of dynamic, multifunctional integration for efficient edge computing. Operating at mere millivolt levels, these devices deliver high accuracy in fingerprint recognition, significantly streamlining system architecture and reducing manufacturing costs, paving the way for the next generation of flexible electronics.

High-entropy oxides (HEOs) have emerged as a promising class of memristive materials, characterized by entropy-stabilized crystal structures, multivalent cation coordination, and tunable defect landscapes. These intrinsic features enable forming-free resistive switching, multilevel conductance modulation, and synaptic plasticity, making HEOs attractive for neuromorphic computing. This review outlines recent progress in HEO-based memristors across materials engineering, switching mechanisms, and synaptic emulation. Particular attention is given to vacancy migration, phase transitions, and valence-state dynamics—mechanisms that underlie the switching behaviors observed in both amorphous and crystalline systems. Their relevance to neuromorphic functions such as short-term plasticity and spike-timing-dependent learning is also examined. While encouraging results have been achieved at the device level, challenges remain in conductance precision, variability control, and scalable integration. Addressing these demands a concerted effort across materials design, interface optimization, and task-aware modeling. With such integration, HEO memristors offer a compelling pathway toward energy-efficient and adaptable brain-inspired electronics.

Most japonica rice varieties possess similar alleles for grain size, producing short and wide grains.

The gs9^ko allele has a widely applicable effect on grain appearance improvement. The increased leaf angle of the gs9^ko allele does not affect its improvement effect.

A rapidly growing field is piezoresistive sensor for accurate respiration rate monitoring to suppress the worldwide respiratory illness. However, a large neglected issue is the sensing durability and accuracy without interference since the expiratory pressure always coupled with external humidity and temperature variations, as well as mechanical motion artifacts. Herein, a robust and biodegradable piezoresistive sensor is reported that consists of heterogeneous MXene/cellulose-gelation sensing layer and Ag-based interdigital electrode, featuring customizable cylindrical interface arrangement and compact hierarchical laminated architecture for collectively regulating the piezoresistive response and mechanical robustness, thereby realizing the long-term breath-induced pressure detection. Notably, molecular dynamics simulations reveal the frequent angle inversion and reorientation of MXene/cellulose in vacuum filtration, driven by shear forces and interfacial interactions, which facilitate the establishment of hydrogen bonds and optimize the architecture design in sensing layer. The resultant sensor delivers unprecedented collection features of superior stability for off-axis deformation (0–120°, ~ 2.8 × 10^–3 A) and sensing accuracy without crosstalk (humidity 50%–100% and temperature 30–80 °C). Besides, the sensor-embedded mask together with machine learning models is achieved to train and classify the respiration status for volunteers with different ages (average prediction accuracy ~ 90%). It is envisioned that the customizable architecture design and sensor paradigm will shed light on the advanced stability of sustainable electronics and pave the way for the commercial application in respiratory monitory.

This paper expounds on the development status and relevant works of control and guidance methods of the aerospace vehicle in recent years. The control difficulties and the solutions in the related results are introduced briefly. Moreover, the guidance methods are then expounded in detail according to the flight phases of the whole flight mission. Guidance methods are usually included in each phase, and the corresponding trajectory design theories are also introduced where necessary. In addition, the potential future development direction prospects. Based on the above, a brief conclusion is then made as a summary.

Converting carbon dioxide into fuels and chemicals using renewable energy is a promising route to reduce greenhouse gas emissions and recycle carbon. Yet the stability of CO₂ molecules makes their activation both energy-intensive and inefficient when relying on a single energy input. Recent research highlights the power of coupling multiple energy sources—such as light with heat, electricity with heat, or plasma with thermal energy—to generate synergistic effects that improve efficiency, selectivity, and stability. By integrating these complementary modes of energy, synergetic catalytic systems open opportunities to overcome barriers in CO₂ reduction and move closer to practical, scalable carbon recycling technologies.