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409 results on '"Li, Meijia"'

1. Flux Synthesis of A-site Disordered Perovskite La0.5M0.5TiO3 (M═Li, Na, K) Nanorods Tailored for Solid Composite Electrolytes.

Author

Wang, Tao, Ock, Jiyoung, Chen, X, Wang, Fan, Li, Meijia, Chambers, Matthew, Veith, Gabriel, Shepard, Lauren, Sinnott, Susan, Borisevich, Albina, Chi, Miaofang, Bhattacharya, Amit, Clément, Raphaële, Sokolov, Alexei, and Dai, Sheng

Subjects
disordered structure, flux synthesis, molten salts, nanomaterials, solid composite electrolyte
Abstract

Inorganic fillers play an important role in improving the ionic conductivity of solid composite electrolytes (SCEs) for Li-ion batteries. Among inorganic fillers, perovskite-type lithium lanthanum titanate (LLTO) stands out for its high bulk Li+ conductivity on the order of 10-3 S cm-1 at room temperature. According to a literature survey, the optimal LLTO filler should possess the following characteristics: i) a single-crystal structure to minimize grain boundaries; ii) a small particle size to increase the filler/polymer interface area; iii) a 1D morphology for efficient interface channels; and iv) cubic symmetry to facilitate rapid bulk Li+ diffusion within the filler. However, the synthesis of single crystal, 1D LLTO nanomaterials with cubic symmetry is challenging. Herein, a flux strategy is developed to synthesize La0.5M0.5TiO3 (LMTO, M═Li, Na, and K) single-crystal nanorods with an A-site-disordered, cubic perovskite phase. The flux media promotes the oriented growth of nanorods, prevents nanorods from sintering, and provides multiple alkali metal ion doping at M sites to stabilize the cubic phase. SCEs compositing the Li+-conducting LMTO nanorods as fillers and poly[vinylene carbonate-co-lithium sulfonyl(trifluoromethane sulfonyl)imide methacrylate] matrix exhibit more than twice the conductivity of the neat polymer electrolyte (30.6 vs 14.0 µS cm-1 at 303 K).

Published
2024

19. Research on the Integration Teaching Mode of Traditional Music Elements and College Piano under the Background of Information Technology

Author

Li Meijia

Subjects
scaffolding pedagogy, digital pre-processing, base note feature extraction, string vibration equation, piano education, 97c70, Mathematics, QA1-939
Abstract

With the deep integration of information technology and music education, how to integrate traditional music to innovate college piano teaching mode has become a problem that must be solved for the development of the times. Based on the scaffolding teaching method, this paper integrates traditional music elements with college piano in-depth and realizes the innovation of college piano integration teaching mode by adopting online pre-study before class, offline teaching during class and timely reflection and evaluation after class. In the teaching process, traditional music signals are represented by time-frequency domain features so as to realize the digital pre-processing of traditional music signals, and traditional music fundamental tone contours are transformed by using the fundamental tone feature extraction method. Then, based on the principles of physics, we explored the string vibration equation of the piano-generating principle and constructed a mathematical model for the piano music signal. To verify the effectiveness of this paper’s method in piano teaching in colleges and universities, relevant algorithms and teaching practices are used. The results show that the GNSDR of this paper’s method on vocals is improved by 6.58% compared with Unet, and its SDR is 4.25dB and 5.21dB when separating the two music source signals of Piano and Vocals, which is improved by 0.36dB and 0.14dB compared with SHN-4, respectively. The college piano scaffolding teaching model that integrates traditional music elements has enhanced sight-reading ability by 116.44%. Under the background of information technology, it is necessary to fully combine the relevant technology to extract the characteristics of traditional music elements so as to help teachers better carry out the design of piano music teaching programs and improve the quality of colleges and universities to cultivate piano talents who inherit traditional music.

Published
2024
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30. Mentalizing About Dynamic Social Action Sequences Is Supported by the Cerebellum, Basal Ganglia, and Neocortex: A Meta‐Analysis of Activation and Connectivity.

Author

Van Overwalle, Frank, Heleven, Elien, Haihambo, Naem, Li, Meijia, Ma, Qianying, Pu, Min, Baeken, Chris, Deroost, Natacha, and Baetens, Kris

Subjects
BASAL ganglia, MENTALIZATION, SOCIAL action, CEREBELLUM, NEOCORTEX
Abstract

The posterior cerebellum and anterior basal ganglia are critical subcortical structures for learning and identifying dynamic action sequences, in concert with the neocortex. The present analysis investigates the role of action sequences during social mentalizing, termed here dynamic or sequential social mentalizing. Although the role of the cerebellum in dynamic social mentalizing was extensively investigated during the last decade, the basal ganglia were long ignored. We conducted an activation likelihood estimation coordinate‐based meta‐analysis of sequential social mentalizing tasks (with 485 participants in 17 studies). These tasks required participants to make social mentalizing inferences ranging from low‐level goals to high‐level beliefs and traits, while either memorizing, generating or predicting temporal sequences of the social actions involved (i.e., social sequencing condition), or not (i.e., social non‐sequencing control condition), or did so for nonsocial objects (i.e., nonsocial sequencing control condition). The tasks also occasionally included inconsistencies in social behavior. Results revealed that the cerebellum exhibited a preference for social, sequencing, and inconsistent information, while the basal ganglia showed a preference for sequencing and inconsistency, without a general preference for social input. Meta‐analytic connectivity analysis further showed evidence of coactivation between mentalizing areas of the cerebellum, basal ganglia and cerebral neocortex. The present work underscores the role of subcortical structures in social mentalizing about dynamic action sequences. [ABSTRACT FROM AUTHOR]

Published
2024
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