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With the development of technology, multifunctional multiband emitters have been paid much attention due to their wide range of applications, such as LIDAR detection, spectroscopic sensing, and infrared thermal management. However, the development of such emitters is impeded by incompatible structural requirements of different electromagnetic wavebands. Here, we demonstrate coupled modulation between near-infrared (NIR) laser-wavelength and long-wavelength-infrared by constructing a multifunctional emitter (MFE) with a structure of Al/HfO/VO, utilizing the phase transition of VO. The MFE displays excellent thermal modulation capability within the 8-14 μm range, achieving a thermal insulation effect (ε = 0.18) at low temperatures, and heat dissipation effect (ε = 0.64) at high temperatures. The MFE's radiation power regulation capability is 145.06 W m between a temperature of 0 to 60 °C. Moreover, the MFE possesses a large reflectivity modulation value of 0.78 at NIR laser-wavelength (1.06 μm) with a short phase transition time of 1003 ms under 3 W cm laser irradiation. This study provides a guideline for the coordinated control of electromagnetic waves and intelligent collaborative thermal management through simple structural design, thus, having broad implications in energy saving and thermal information processing.
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http://dx.doi.org/10.1021/acsami.4c06912 | DOI Listing |
Pain Med Case Rep
September 2023
Department of Anesthesiology and Critical Care Medicine, Division of Pain Medicine, Johns Hopkins University School of Medicine, Baltimore, MD.
Background: Many patients with severe axial lumbar pain due to the facet joints (i.e., facet arthropathy) have pain refractory to lumbar surgical instrumentation.
View Article and Find Full Text PDFPhlebology
September 2025
Vascular Surgery, Vita-Salute University School of Medicine, San Raffaele Scientific Institute, Milan, Italy.
ObjectiveRecurrent varicose veins (RVVs) following open surgical procedures are common and present significant treatment challenges. Redo open surgery (rOS) presents risks leading to a need for alternative treatment options. This study compares the safety and efficacy of ultrasound-guided foam sclerotherapy (UGFS), used to treat recurrent reflux and remove neovascular and tributary venous networks in the thigh, to redo open surgery (rOS) for the treatment of C2r.
View Article and Find Full Text PDFTemperature (Austin)
June 2025
Department of Mechanical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Sweating is a vital thermoregulatory mechanism in humans for maintaining thermal balance during exercise and exposure to hot environments. The development of models that predict sweat rate based on body temperature has been ongoing for over half a century. Here, we compared predicted water loss rates (WLR) from these models to actual observations collected during 780 participant-exposures in three independent laboratory-based experiments.
View Article and Find Full Text PDFAdv Mater
September 2025
NRC (Nanostructure Research Centre), Wuhan University of Technology, Wuhan, 430070, China.
Thermoelectric nanoplates derived from anisotropic van der Waals (vdW) materials such as BiTe are pivotal for flexible electronics and microscale thermal management. Their performance critically depends on grain boundary (GB) microstructure, but the atomic-scale mechanisms governing grain growth in these highly anisotropic systems remain elusive. This particularly concerns the competition between individual nanoplate reshaping driven by facet stabilization and collective merging at GBs.
View Article and Find Full Text PDFEnviron Monit Assess
September 2025
Institute of Earth Sciences, Southern Federal University, Rostov-On-Don, Russia.
Sustainable urban development requires actionable insights into the thermal consequences of land transformation. This study examines the impact of land use and land cover (LULC) changes on land surface temperature (LST) in Ho Chi Minh city, Vietnam, between 1998 and 2024. Using Google Earth Engine (GEE), three machine learning algorithms-random forest (RF), support vector machine (SVM), and classification and regression tree (CART)-were applied for LULC classification.
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