In a paper published in Astronomical Techniques and Instruments, the Solar Close Observations and Proximity Experiments (SCOPE) mission will send a spacecraft into the solar atmosphere at a low altitude of just 5 R☉ from the solar center. It aims to elucidate the mechanisms behind solar eruptions and coronal heating, and to directly measure the coronal magnetic field.

The combination of solar energy and natural hydrothermal systems will innovate the chemistry of CO₂ hydrogenation; however, the approach remains challenging due to the lack of robust and cost-effective catalytic system. Here, Zn which can be recycled with solar energy-induced approach was chosen as the reductant and Co as catalyst to achieve robust hydrothermal CO₂ methanation. Nanosheets of honeycomb ZnO were grown in situ on the Co surface, resulting in a new motif (Co@ZnO catalyst) that inhibits Co deactivation through ZnO-assisted CoO_x reduction. The stabilized Co and interaction between Co and ZnO functioned collaboratively toward the full conversion of CO₂–CH₄. In situ hydrothermal infrared spectroscopy confirmed the formation of formic acid as an intermediate, thereby avoiding CO formation and unwanted side reaction pathways. This study presents a straightforward one-step process for both highly efficient CO₂ conversion and catalyst synthesis, paving the way for solar-driven CO₂ methanation.

Realizing the point-of-care tumor markers biodetection with good convenience and high sensitivity possesses great significance for prompting cancer monitoring and screening in biomedical study field. Herein, the quantum dots luminescence and microfluidic biochip with machine vision algorithm-based intelligent biosensing platform have been designed and manufactured for point-of-care tumor markers diagnostics. The employed quantum dots with excellent photoluminescent performance are modified with specific antibody as the optical labeling agents for the designed sandwich structure immunoassay. The corresponding biosensing investigations of the designed biodetection platform illustrate several advantages involving high sensitivity (~ 0.021 ng mL^-1), outstanding accessibility, and great integrability. Moreover, related test results of human-sourced artificial saliva samples demonstrate better detection capabilities compared with commercially utilized rapid test strips. Combining these infusive abilities, our elaborate biosensing platform is expected to exhibit potential applications for the future point-of-care tumor markers diagnostic area.

CHAF1B, a histone chaperone component of the chromatin assembly factor-1 complex, is overexpressed in multiple cancers and linked to tumor progression, but its role in lung squamous-cell carcinoma (LUSC) remained unclear. This study identifies CHAF1B as a critical oncogenic driver in LUSC through integrated bioinformatics, in vitro experiments, and in vivo models. Analysis of the GSE68793 LUSC dataset via weighted gene co-expression network analysis (WGCNA) highlighted CHAF1B as a top hub gene enriched in cell cycle regulation pathways. Immunohistochemistry of 126 LUSC tissues confirmed CHAF1B overexpression compared to adjacent normal tissues, with higher expression correlating significantly with advanced tumor stages and poor patient survival. Functional assays demonstrated that CHAF1B knockdown suppressed LUSC cell proliferation, induced S-phase cell cycle arrest, and reduced colony formation. In mouse xenograft models, CHAF1B silencing markedly inhibited tumor growth, underscoring its pro-tumorigenic role.

Researchers have experimentally observed the enhancement of neutron-rich particle emission from out-of-fission-plane in Fermi energy heavy ion collisions, suggesting a new probe for nuclear equation of state. The fast-rotating reaction system provides a beneficial environment to study the mechanisms of isospin migration and fission dynamics.

China’s national carbon market has become the world’s largest carbon market and is expected to be a crucial policy instrument for achieving the country’s “dual carbon” goals. The design of China’s national carbon market integrates economic theory and international experiences, and more importantly, it fully considers China’s actual situation. This is reflected in key areas such as sectoral coverage, allowance allocation, cap setting, and the MRV (Monitoring, Reporting and Verification) system. Currently, China’s national carbon market has made effective progress in several aspects, but it also faces challenges.

The In₂O₃ catalyst prepared via precipitation undergoes an important structural evolution during CO₂ hydrogenation. Initial activation involves nanoparticle sintering and formation of oxygen vacancies, which enhanced CO₂ conversion but reduced methanol selectivity. Combined experimental and computational studies show that surfaces with more oxygen vacancies or hydroxyl groups accelerate CO₂ conversion but favor CO formation over methanol. This work provides crucial insights into designing optimal In₂O₃ catalysts for methanol synthesis from CO₂ hydrogenation.

This review systematically examines how self-assembled molecules enhance the performance and stability of perovskite optoelectronic devices, focusing on their properties, mechanisms, and rational design strategies.

Ionic aggregates are among the most prevalent forms of matter, yet studying molecular motion within them has often been limited by the structural complexity arising from the co-existence of anionic and cationic units and the lack of real-time monitoring techniques. Researchers at The Hong Kong University of Science and Technology (HKUST) and The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen) recently introduced an innovative zwitterionic strategy. They integrated cations and anions into one fluorescent organic framework, forming a zwitterionic molecule. By leveraging changes in fluorescence wavelengths and intensities, they achieved real-time monitoring of both inter- and intramolecular motion within ionic aggregates. Published in National Science Review, this finding provides a new paradigm for investigating the molecular dynamics in complex ionic aggregates.

A research team from the Tsinghua University and the Institute of Psychology, Chinese Academy of Sciences has developed a big data-guided algorithm for personalizing transcranial magnetic stimulation (TMS) treatment in depression. Using over 3,000 brain scans, the method improves targeting precision and shows stronger links to treatment efficacy than conventional approaches.