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Anticorrosion coating with near-infrared light triggered precisely controllable self-healing performances.
J Colloid Interface Sci
December 2024
Georgia Southern Univ, Dept Chem & Biochem, POB 8064, Statesboro, GA 30460, USA.
Great attentions have been paid to anticorrosion coatings with self-healing performances to enhance its reliability and protection period, but massive challenges still remain for developing a coating with selectively triggered and accurately controllable self-healing behaviors. Herein, by integrating lamellar graphene oxide (GO) into a polycaprolactone (PCL) nanofiber loaded with 8-hydroxyquinoline (8HQ) corrosion inhibitors, a composite coating with precisely controllable self-healing capabilities is developed. The coating defects can be remotely and accurately repaired under near-infrared (NIR) light irradiation within a very short time.
View Article and Find Full Text PDFInvestment strategies for sustainable safe development of Chinese coal mine employees driven by digital intelligence.
Front Public Health
December 2024
School of Economics and Management, Huainan Normal University, Huainan, China.
China's "14th Five-Year Plan" proposes the construction of a "Digital China," posing the challenge of digital transformation to coal mining enterprises. It is critical to compare the effectiveness of investing in digital devices with that of human capital. This study establishes a structural equation model based on the 'regulation-situation-behavior' theoretical framework.
View Article and Find Full Text PDFShort time solar power forecasting using P-ELM approach.
Sci Rep
December 2024
School of Electrical and Information, Hunan University, Changsha, 410083, China.
Accurately predicting solar power to ensure the economical operation of microgrids and smart grids is a key challenge for integrating the large scale photovoltaic (PV) generation into conventional power systems. This paper proposes an accurate short-term solar power forecasting method using a hybrid machine learning algorithm, with the system trained using the pre-trained extreme learning machine (P-ELM) algorithm. The proposed method utilizes temperature, irradiance, and solar power output at instant i as input parameters, while the output parameters are temperature, irradiance, and solar power output at instant i+1, enabling next-day solar power output forecasting.
View Article and Find Full Text PDFIn Vivo Neurodynamics Mapping via High-Speed Two-Photon Fluorescence Lifetime Volumetric Projection Microscopy.
Adv Sci (Weinh)
December 2024
State Key Laboratory of Radio Frequency Heterogeneous Integration & Key Laboratory of Optoelectronic Devices and Systems, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, 518060, China.
Monitoring the morphological and biochemical information of neurons and glial cells at high temporal resolution in three-dimensional (3D) volumes of in vivo is pivotal for understanding their structure and function, and quantifying the brain microenvironment. Conventional two-photon fluorescence lifetime volumetric imaging speed faces the acquisition speed challenges of slow serial focal tomographic scanning, complex post-processing procedures for lifetime images, and inherent trade-offs among contrast, signal-to-noise ratio, and speed. This study presents a two-photon fluorescence lifetime volumetric projection microscopy using an axially elongated Bessel focus and instant frequency-domain fluorescence lifetime technique, and integrating with a convolutional network to enhance the imaging speed for in vivo neurodynamics mapping.
View Article and Find Full Text PDFBio-inspired anti-swelling amyloid-fiber lysozyme adhesive for rapid wound closure and hemostasis.
Biomater Sci
December 2024
State Key Laboratory of Polymer Physics and Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, P. R. China.
Instant adhesion to wet biological surfaces and reduced swelling of tissue adhesives are crucial for rapid wound closure and hemostasis. However, previous strategies to reduce swelling were always accompanied by a decrease in the tissue bonding strength of the adhesive. Moreover, the irreducibility of the covalent bonds in currently reported adhesives results in the adhesives losing their tissue adhesive ability.
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