Microscopy is a vital tool for exploring the mysteries of life, enabling scientists to observe the dynamic changes of cells and organelles across spatial and temporal scales. However, because cells are primarily composed of water and exhibit low refractive-index contrast, it remains challenging to clearly visualize their internal structures. In recent years, Intensity Diffraction Tomography (IDT), an emerging label-free 3D imaging technique, has attracted increasing attention. Instead of relying on fluorescent dyes, IDT directly exploits the intrinsic refractive-index distribution of cells for imaging, thereby avoiding phototoxicity and photobleaching and making it particularly suitable for long-term live-cell observation. When combined with 3D fluorescence microscopy, this dual-modal approach can simultaneously provide molecular specificity and global structural information, offering a powerful tool for deciphering cellular components and their interactions. Nevertheless, long-term imaging (from several hours to days) is often hindered by the optical complexity of cells, environmental thermal drift, and mechanical instabilities of the microscope, which lead to time-varying aberrations and focal drift. Achieving stable, high-quality tracking of subcellular structures over extended periods therefore remains a key challenge.

Researchers use the WRF (Weather Research and Forecasting) model to conduct a large-eddy simulation of a tornado that occurred in the Foshan area, applying a rederived equation for vertical pressure gradient force, they analyzed the influence of horizontal vortex tubes on the tornado. The results showed that horizontal vortex tubes play a significant role in the development of tornadoes. 

Magnetic compression anastomosis (MCA) is an emerging minimally invasive surgical technique using magnets to join tissues, originally for gastrointestinal procedures and now explored for pediatric esophageal atresia repair. Magnets placed on tissue surfaces create controlled compression promoting fusion. While showing promise for challenging anatomical locations, optimal magnet design, compression forces, and safety protocols require further research. Recent innovations like convex-concave magnets may reduce complications, but more studies are needed to establish best practices and long-term efficacy.

This study provided a comprehensive evaluation of CHARMS™ skincare cosmetics in terms of their ability to improve skin tone, their antioxidant properties, and the presence of volatile organic compounds (VOCs) with potential skin benefits. Skincare efficacy has become a growing consumer concern, particularly regarding antioxidant activity and skin-lightening effects. Using a clinical trial on 20 female volunteers, the research revealed that CHARMS™ products significantly enhanced skin appearance, with a 3.23% improvement in skin lightness and a 5.75% reduction in skin redness.

 

Antioxidant analysis demonstrated that the serum and cleanser exhibited the strongest radical scavenging activities, while the moisturizer showed the highest total phenolic content, and the cleanser yielded the highest flavonoid content. These findings suggest that each product in the CHARMS™ line contributes differently to skin protection and rejuvenation. Furthermore, electronic nose gas chromatography (e-nose-GC) detected VOCs such as limonene and γ-terpinene, compounds known for their skin-lightening and antioxidant effects.

 

Together, these results highlight the scientific basis for the cosmetic benefits of CHARMS™ skincare products. The combination of natural ingredients, antioxidant activity, and the presence of VOCs supports their effectiveness in reducing oxidative stress, preventing pigmentation, and improving skin tone. The study also confirmed that CHARMS™ products complied with Malaysia’s Control of Cosmetic Products regulations, underscoring their safety and suitability for daily skincare routines.

 

Overall, this work not only validated the claims of CHARMS™ cosmetics but also provided an evidence-based perspective on how antioxidant-rich ingredients and bioactive VOCs synergistically promote skin tone improvement. The findings suggest promising applications of CHARMS™ in both cosmetic and dermatological contexts, meeting consumer demand for safe, effective, and scientifically proven skincare products.

The Shockley–Queisser (S-Q) model sets a theoretical limit on the power conversion efficiency (PCE) of single-junction solar cells at around 33%. Recently, a PCE of 50%-60% was achieved for the first time in n-type single-junction Si solar cells by inhibiting light conversion to heat at low temperatures. Understanding these new observations opens tremendous opportunities for designing solar cells with even higher PCE to provide efficient and powerful energy sources for cryogenic devices and outer and deep space explorations.

The development of highly efficient and durable bifunctional catalysts with minimal precious metal usage is critical for advancing proton exchange membrane water electrolysis (PEMWE). We present an iridium–platinum nanoalloy (IrPt) supported on lanthanum and nickel co-doped cobalt oxide, featuring a core–shell architecture with an amorphous IrPtO_x shell and an IrPt core. This catalyst exhibits exceptional bifunctional activity for oxygen and hydrogen evolution reactions in acidic media, achieving 2 A cm⁻² at 1.72 V in a PEMWE device with ultralow loadings of 0.075 mg_Ir cm⁻² and 0.075 mg_Pt cm⁻² at anode and cathode, respectively. It demonstrates outstanding durability, sustaining water splitting for over 646 h with a degradation rate of only 5 μV h⁻¹, outperforming state-of-the-art Ir-based catalysts. In situ X-ray absorption spectroscopy and density functional theory simulations reveal that the optimized charge redistribution between Ir and Pt, along with the IrPt core–IrPtO_x shell structure, enhances performance. The Ir–O–Pt active sites enable a bi-nuclear mechanism for oxygen evolution reaction and a Volmer–Tafel mechanism for hydrogen evolution reaction, reducing kinetic barriers. Hierarchical porosity, abundant oxygen vacancies, and a high electrochemical surface area further improve electron and mass transfer. This work offers a cost-effective solution for green hydrogen production and advances the design of high-performance bifunctional catalysts for PEMWE.

This paper proposes a deep learning framework F-GCN that integrates multiple wavelet bases, and extracts MI brain electrical features based on the functional topological relationships between electrodes. The average accuracy of the fused features reaches 92.44%, which is significantly higher than that of a single wavelet basis (coif4: 67.67%, db4: 82.93%, sym4: 73.10%). It also demonstrates good stability and individual convergence in the leave-one-out verification, proving the effectiveness of the method.

With the advancement of detection technologies and the increasing complexity of camouflage scenarios, dynamically tunable devices capable of responding to multispectral detection demonstrate tremendous potential for camouflage applications. Towards this goal, Scientist in China proposed a VO₂-based multispectral dynamic modulator, leveraging the material's broad-spectrum tunability and flexible performance adjustability to achieve dynamic spectral modulation in visible and mid-infrared bands. The technique will provide a new technological pathway for the realization of multispectral dynamic camouflage technologies.

The rapid advancement of artificial intelligence (AI) presents significant opportunities for both societies and industries. At the same time, however, it raises growing concerns about the increasing frequency and sophistication of cyberattacks. These cyber risks can lead not only to substantial direct financial losses for firms, but also to indirect losses stemming from reputational damage and cascading effects within interconnected systems. To enhance resilience in the face of such events, it is essential for scholars across disciplines to engage in rigorous analysis and interdisciplinary dialogue on the assessment and management of cyber risks.