Smartphone addiction and malevolent creativity-the mediating role of psychological capital and the moderating role of self-concept clarity. [PDF]
Li W, Zhou Y.
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This review examines the fluid dynamic behavior within carbonaceous porous structures, linking structural characteristics to electrolyte transport and electrochemical performance. Specifically, it quantitatively assesses the effect of polyphenol derivatives‐harnessed multiscale pore structures on active surface utilization and electrochemical activity ...
Minjun Kim+3 more
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Forest aboveground biomass estimation based on spaceborne LiDAR combining machine learning model and geostatistical method. [PDF]
Xu L+5 more
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Fatigue‐Resistant Mechanoresponsive Color‐Changing Hydrogels for Vision‐Based Tactile Robots
Mechanoresponsive color‐changing materials that can reversibly and resiliently change color in response to stress are highly desirable for diverse technologies in optics, sensors, and robots; however, such materials are rarely achieved. This work reports a fatigue‐resistant mechanoresponsive color‐changing hydrogel that exhibits reversible, resilient ...
Jiabin Liu+4 more
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Data reconstruction from machine learning models via inverse estimation and Bayesian inference. [PDF]
Hartoyo A+3 more
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Exciton Dynamics in Layered Halide Perovskite Light‐Emitting Diodes
This review discusses the exciton dynamics in layered halide perovskitelight‐emitting diodes (PeLEDs). It opens with a summary of the structural and photophysical aspects, followed by an exploration of controlling dimensionality and cascade exciton transfer in quasi‐2D PeLEDs.
Sung‐Doo Baek+5 more
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Line-of-Sight Probability Analysis of Underground Mining Visible Light Communication Diversity Schemes Under Random Receiver Orientation. [PDF]
Solís J+5 more
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Computational Modeling of Reticular Materials: The Past, the Present, and the Future
Reticular materials are advanced materials with applications in emerging technologies. A thorough understanding of material properties at operating conditions is critical to accelerate the deployment at an industrial scale. Herein, the status of computational modeling of reticular materials is reviewed, supplemented with topical examples highlighting ...
Wim Temmerman+3 more
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Different MRI-based radiomics machine learning models to predict CD3+ tumor-infiltrating lymphocytes in rectal cancer. [PDF]
Ma W+6 more
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The rise of lead halide perovskite semiconductors has enabled high‐performance LEDs with internal quantum efficiencies approaching 100%. In order to further enhance the external quantum efficiencies limited by light outcoupling effects, in this account, the strategies for reducing energy dissipation through the substrate, waveguide, and evanescent ...
Tommaso Marcato+2 more
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