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Resilience, coping strategies, and disaster experience: a path analysis of preparedness and avoidance in Taiwan.
BMC Public Health
January 2025
Department of Applied Social Sciences, Hong Kong Polytechnic University, Hong Kong, China.
Background: This study investigates the relationships between resilience dimensions, coping strategies, and prior disaster experience, focusing on disaster preparedness and avoidance behaviors in Taiwan.
Methods: A total of 550 participants were surveyed, with 57.82% being female and the majority aged between 21 and 40 years.
Multidimensional free shape-morphing flexible neuromorphic devices with regulation at arbitrary points.
Nat Commun
January 2025
Institute of Optoelectronic Thin Film Devices and Technology, Key Laboratory of Optoelectronic Thin Film Devices and Technology of Tianjin, College of Electronic Information and Optical Engineering, National Institute for Advanced Materials, Nankai University, Tianjin, China.
Biological neural systems seamlessly integrate perception and action, a feat not efficiently replicated in current physically separated designs of neural-imitating electronics. This segregation hinders coordination and functionality within the neuromorphic system. Here, we present a flexible device tailored for neuromorphic computation and muscle actuation.
View Article and Find Full Text PDFMetal-organic cage crosslinked nanocomposites with enhanced high-temperature capacitive energy storage performance.
Nat Commun
January 2025
State Key Lab of New Ceramics and Fine Processing, School of Materials Science and Engineering, Tsinghua University, Beijing, China.
Polymer dielectric materials are widely used in electrical and electronic systems, and there have been increasing demands on their dielectric properties at high temperatures. Incorporating inorganic nanoparticles into polymers is an effective approach to improving their dielectric properties. However, the agglomeration of inorganic nanoparticles and the destabilization of the organic-inorganic interface at high temperatures have limited the development of nanocomposites toward large-scale industrial production.
View Article and Find Full Text PDFTransition toward circular economy in the agrifood seedling phase: A Life Cycle Assessment on tomato trays.
Sci Total Environ
January 2025
University of Parma, Department of Engineering for Industrial Systems and Technologies, Parco Area delle Scienze 181/A, 43124 Parma, Italy. Electronic address:
National and international guidelines call for greater environmental sustainability in agriculture through the introduction of the circular economy. Recent studies investigate the introduction of new technologies and methodologies in the field, however, few focus on initial stages at the plant nursery or the management of the involved materials, and none scientifically calculate their environmental impact. To fill this gap, this paper focuses on an Italian case study that quantifies the environmental impact of the traditional seed trays used worldwide for growing, transporting and transplanting tomato seedlings, proposing and evaluating two alternatives from a circular economy perspective.
View Article and Find Full Text PDFDeep Equilibrium Unfolding Learning for Noise Estimation and Removal in Optical Molecular Imaging.
Comput Med Imaging Graph
January 2025
CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China; National Key Laboratory of Kidney Diseases, Beijing 100853, China. Electronic address:
In clinical optical molecular imaging, the need for real-time high frame rates and low excitation doses to ensure patient safety inherently increases susceptibility to detection noise. Faced with the challenge of image degradation caused by severe noise, image denoising is essential for mitigating the trade-off between acquisition cost and image quality. However, prevailing deep learning methods exhibit uncontrollable and suboptimal performance with limited interpretability, primarily due to neglecting underlying physical model and frequency information.
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