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The advancement of sophisticated smart windows exhibiting superior thermoregulation capabilities in both solar spectrum and long-wave infrared range maintains a prominent objective for researchers in this field. In this study, a Janus window is proposed and prepared based on polymer-stabilized liquid-crystal films/thermochromic materials. It can achieve switchable front long-wave infrared emissivity (ε) and solar modulation ability (ΔT) through dynamic flipping, making it suitable for different seasonal energy-saving requirements. Outdoor experiments show that under daytime illumination, the indoor temperature decreases by 8 °C, and the nighttime temperature drops by 5 °C. MATLAB simulation calculations indicate that the daytime cooling power is 93 W m, while the nighttime cooling power reaches 142 W m. Interestingly, by modifying the conductive layer, it can effectively shield electromagnetic radiation (within the X-band frequency range (8.2-12.4) GHz). Energy simulation reveals the substantial superiority of this device in energy savings compared with single-layer polymer-stabilized liquid crystal, poly(N-isopropyl acrylamide), and normal glass when applied in different climate zones. This research presents a compelling opportunity for the development of sophisticated smart windows characterized by exceptional thermoregulation capabilities.
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http://dx.doi.org/10.1007/s40820-025-01740-1 | DOI Listing |
Front Plant Sci
August 2025
Singapore-HUJ Alliance for Research and Enterprise (SHARE), Singapore, Singapore.
Accurate estimation of leaf nitrogen concentration and shoot dry-weight biomass in leafy vegetables is crucial for crop yield management, stress assessment, and nutrient optimization in precision agriculture. However, obtaining this information often requires access to reliable plant physiological and biophysical data, which typically involves sophisticated equipment, such as high-resolution sensors and cameras. In contrast, smartphone-based sensing provides a cost-effective, manual alternative for gathering accurate plant data.
View Article and Find Full Text PDFChem Biomed Imaging
August 2025
School of Environmental and Biological Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Accurate and automated segmentation of 3D biomedical images is a sophisticated imperative in clinical diagnosis, imaging-guided surgery, and prognosis judgment. Although the burgeoning of deep learning technologies has fostered smart segmentators, the successive and simultaneous garnering global and local features still remains challenging, which is essential for an exact and efficient imageological assay. To this end, a segmentation solution dubbed the mixed parallel shunted transformer (MPSTrans) is developed here, highlighting 3D-MPST blocks in a U-form framework.
View Article and Find Full Text PDFJ Mater Chem B
August 2025
Day Surgery Center, West China Hospital, Sichuan University, Chengdu 610041, China.
The application of anesthetics constitutes a cornerstone of modern medicine, yet conventional agents are plagued by suboptimal pharmacokinetics and potential toxicity. Nanotechnology has emerged as a transformative paradigm, facilitating the design of sophisticated carriers that enable unprecedented precision in anesthetic delivery. This narrative review provides a critical synthesis of the field, advancing beyond conventional material cataloguing to deliver a comprehensive "bench-to-bedside" analysis.
View Article and Find Full Text PDFIEEE J Biomed Health Inform
August 2025
The physiological signals obtained from advanced sensors, combined with deep learning techniques for classification and regression tasks, have become a core driving force in enhancing smart healthcare. Recently, dense prediction tasks for physiological signals-aimed at generating predictions that are closely aligned with the input signal to enable fine-grained analysis-have garnered increasing attention. The UNet family, often combined with sophisticated task-specific customizations, has become a popular choice to improve prediction performance.
View Article and Find Full Text PDFTheranostics
August 2025
Moscow Center for Advanced Studies, 20 Kulakova St, 123592, Moscow, Russia.
The pathogen diversity to infiltrate the host organism highlights the demand for equally sophisticated mechanisms for their prevention. The development of "intelligent" agents with molecular logic capabilities are of great hope, but their full theranostic potential has yet to be realized. The original concept of nanoagents based on "Biocomputing based on particle disassembly" technology has been extended to nucleic acids (NAs) interfaces and inputs.
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