TCF/LEF transcription factors emerge as druggable targets in Wnt signaling, offering new hope for fibrosis and cancer therapies
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Updates every hour. Last Updated: 7-Nov-2025 10:11 ET (7-Nov-2025 15:11 GMT/UTC)
This review presents a comprehensive analysis of the electromagnetic shielding mechanisms, advanced synthesis techniques, and material optimization strategies for ceramic-based electromagnetic shielding materials. Meanwhile, this review discusses the research progress of traditional ceramics (such as oxides, carbides, borides, nitrides and ferrites) and emerging ceramics (such as polymer-derived ceramics, MAX phase ceramics and high-entropy ceramics). Furthermore, the review outlines future research directions in four key areas: microstructure engineering for high-efficiency electromagnetic shielding ceramics, advanced manufacturing technologies, multifunctional integration of shielding properties, and the development of artificial intelligence-driven design approaches for ceramic materials.
Ruddlesden-Popper (R-P) layered perovskite Sr3Fe2O7–δ (SFO) is considered a promising cathode catalyst for solid oxide fuel cells (SOFCs) due to its unique layered structure. However, its insufficient oxygen reduction reaction (ORR) activity at reduced temperatures leads to high polarization resistance, significantly degrading cell performance. This study introduces Nd-doped Sr2.9Nd0.1Fe2O7–δ (SNFO) as a candidate cathode material, focusing on its phase structure, oxygen desorption behavior, catalytic activity, and oxygen reduction reaction kinetics. At 700 ℃, the SNFO catalyst delivers outstanding ORR activity with a polarization resistance of 0.20 Ω cm2 and a peak power density of 803 mW cm⁻2. Distribution of relaxation times (DRT) analysis reveals that the ORR kinetics of the SNFO cathode are primarily limited by the oxygen adsorption-dissociation process. In addition, Density functional theory (DFT) calculations demonstrate that SNFO exhibits lower oxygen vacancy formation energy, enhanced O2 adsorption capacity, and optimized overall oxygen dissociation energetics. This study identifies SNFO as a promising cathode electrocatalyst for SOFCs.
Cervical cancer, one of the most common malignancies in women worldwide, is primarily driven by human papillomavirus (HPV) infection. Researchers from China have identified a new subtype of keratinocytes, designated as PI3+S100A7+ cells, that appear early in HPV-positive cervical cancer and interact closely with immune cells to promote tumor progression. Using single-cell RNA sequencing, the team discovered how these cells alter the tumor environment and predict poor patient outcomes.
Development in artificial intelligence has paved the path for the integration of computational pathology in clinical workflow, improving the accuracy and reducing the workload for medical practitioners. In recent times, Foundation Models (FMs), trained on large-scale, unlabelled datasets, are considered more suitable than traditional models for diverse clinical tasks. In a review study published in the Chinese Medical Journal, researchers highlight the advancements in pathological FMs and discuss their application in precision oncology.
Dark matter accounts for approximately 85% of the universe’s total mass, yet its “invisibility” continues to challenge our understanding of physics. While the Standard Model has successfully described the structure of the visible universe, its limitations have driven scientists to explore ultralight exotic bosons—such as axions and dark photons—as motivative candidates for dark matter. Theoretical studies suggest that such new bosons could mediate exotic spin-dependent interactions beyond four fundamental forces, providing new avenues for detecting ultralight dark matter. However, terrestrial exotic-interaction searches have long been constrained by a fundamental trade-off: enhancing the signal of exotic spin interactions requires simultaneously increasing both the number of polarized spins and relative velocity, parameters that are inherently inversely coupled under laboratory conditions, leaving vast regions of theoretical parameter space unexplored.
Professor Xinhua Peng and Professor Min Jiang from the University of Science and Technology of China, in collaboration with multiple research institutions, have proposed the SQUIRE (Space-based QuantUm sensing for Interaction and exotic bosons Research Exploration) program—a space-based dark matter detection project. For the first time internationally, SQUIRE plans to deploy ultrasensitive quantum sensors aboard the China Space Station to search for potential exotic interactions mediated by dark matter candidate particles between the Earth’s geoelectron spins and the sensor spins. The scheme is projected to improve detection sensitivity by more than 7 orders of magnitude compared to terrestrial experiments. Furthermore, SQUIRE is expected to pave the way for a “space-ground integrated” quantum sensing network, opening new pathways for dark matter exploration in deep space. This paper was published on September 22 in National Science Review under the title “Quantum Sensors in Space: Unveiling the Invisible Universe.”
Researchers from the University of Science and Technology of China, led by Professors Jian-Wei Pan, Hai-Feng Jiang, and Qiang Zhang, have developed a bistatic dual-comb ranging (BDCR) method achieving nanometer-level absolute ranging over 113 km—the longest verified distance to date. Published in National Science Review, this breakthrough extends the measurable range 2.5× beyond traditional systems, attaining 82 nm precision at 21 s, and promises major advances for satellite constellations, gravity mapping, and space telescope arrays.
Space-occupying cyst (SOC), a fluid-filled sac that grows in a confined area of the body, is one of the major complications associated with brain tumor resection. Understanding the clinical features and management principles for such cysts can help patients to experience a favorable prognosis. In a recent Chinese Neurosurgical Journal Study, researchers analyzed and explored the potential characteristics and treatment strategies associated with this lesion.
Copper-based catalysts are promising for converting CO2 into multi-carbon products like ethylene and ethanol, but their oxidized states are unstable under reaction conditions. A research team from the University of Science and Technology of China and collaborators developed a catalyst with cerium oxide (CeOx) nano-islands dispersed on copper oxide, which stabilizes key oxidized copper species during CO2 electrolysis. The catalyst achieved a record 78% faradaic efficiency for C2+ products and maintained high performance for over 110 hours, offering a scalable strategy for efficient and durable CO2 electroreduction.