Hybrid MXene material enables efficient infrared stealth through photothermal conversion
Peer-Reviewed Publication
Updates every hour. Last Updated: 29-Oct-2026 16:16 ET (29-Oct-2026 20:16 GMT/UTC)
The Ti3C2Tx/Bi2Se3 hybrid was constructed to explore a thermal protection strategy in infrared imaging via its enhanced photothermal conversion, providing a promising strategy for developing advanced photothermal materials in stealth technologies.
A research team led by Professor Jianwu Dai from the Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, in collaboration with Professor Rui Gu’s team from the China-Japan Union Hospital of Jilin University and Professor Yi Cui from the National Research Institute for Family Planning, has developed a novel therapeutic paradigm for spinal cord injury repair. By integrating the physical signaling regulation of traditional Chinese electroacupuncture with modern tissue engineering regenerative strategies, this study establishes a new treatment model that integrates complementary strategies from Eastern and Western medical practices.
An electron-donor/electron-acceptor (EDG/EWG) ratio-guided molecular engineering strategy is established to optimize the buried interface of n-i-p perovskite solar cells (PSCs). The EDG-rich dipolar molecule L-2,4-diaminobutyric acid (DBA) delivers superior passivation effects, enabling high power conversion efficiency together with good stability. This work identifies that passivating the perovskite side is more critical than the electron selective layer (ESL) side for achieving high-performance PSCs.
A new study published in Microbiome Research Reports shows that patients with inflammatory bowel disease (IBD) can be stratified into distinct gut microbiome “cluster types” associated with differences in disease severity and progression risk. Rather than individual bacterial taxa, the study highlights community-level microbial structures as more robust indicators of disease heterogeneity. These microbiome-derived clusters were independent of traditional clinical classifications such as Crohn’s disease and ulcerative colitis, suggesting that gut ecosystem organization may offer complementary insights for disease assessment and future precision medicine.
A novel mechanism based on Sanguinarine (SAG) targeting the chaperone protein BiP to synchronously trigger apoptosis and ferroptosis in lung squamous cell carcinoma (LUSC) is provided, and a new strategy for treating this aggressive cancer via Endoplasmic Reticulum Stress (ERS) is opened.
Reflective practice is often seen as a golden standard in teacher development. This philosophical critique, drawing on Foucault and Aristotle, shows that reflection has been disenchanted from an antique ethics of care of the self into a secularised epistemology, a techne for production, and even a neoliberal governance technology. The authors call for re‑enchanting reflective practice as phronesis that is a three‑dimensional virtue ethics and for teacher flourishing as students' in loco parentis.
Researchers have developed a Pt–CuOx interfacial catalyst that enables near-quantitative conversion of biomass-derived HMF into FDCA at low voltage (0.75 V), significantly reducing energy consumption while achieving 99.1% selectivity and long-term stability.
A novel mechanism based on targeting MARK2 to destabilize mutant p53 (mutp53) and suppress triple-negative breast cancer (TNBC) progression, independent of its kinase activity, is provided, and a new strategy for treating mutTP53-driven TNBC is opened.
A new mechanism based on the natural compound chipericumin D from Hypericum monogynum to inhibit osteogenic differentiation in calcific aortic valve disease (CAVD) by directly targeting EGFR and suppressing the EGFR/PI3K/AKT signaling pathway is provided, and a new strategy for CAVD drug therapy is opened.
Substrate inhibition is a longstanding bottleneck in microbial fermentation, particularly in lactic acid bacteria, where excessive substrate concentrations can paradoxically suppress growth and product formation. Conventional models, such as Haldane type formulations, are widely used but remain largely phenomenological, limiting their interpretability and predictive power for process optimization. Bridging this gap requires models that not only fit experimental data but also capture the underlying biological mechanisms.