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1,323 results on '"Fan, Tingting"'

8. International students psychosocial well-being and social media use at the onset of the COVID-19 pandemic: A latent profile analysis.

Author

Chen, Y, Fan, Tingting, Toma, Catalina, and Scherr, Sebastian

Subjects
COVID-19 pandemic, Intercultural difficulties, Internalizing symptoms, International students, Latent profile analysis, Psychosocial well-being, Social compensation, Social media
Abstract

This study examined the link between the psychosocial well-being and social media use of international students in the US at the onset of the COVID-19 pandemic, when social isolation was mandated. Unlike prior research, which has typically focused on a single aspect of psychosocial well-being, we conceptualized international students well-being as a multidimensional construct including internalizing symptoms (i.e., depression, anxiety, loneliness) as well as markers of intercultural difficulties. We then investigated social media use as a function of international students idiosyncratic well-being vulnerabilities. A latent profile analysis revealed four groups with distinctive psychosocial profiles: well-adjusted students, interculturally adjusted students with internalizing symptoms, students with low internalizing symptoms but high intercultural difficulties, and maladjusted students with high internalizing symptoms and high intercultural difficulties. Supporting the social compensation perspective, maladjusted international students reported the highest engagement with social media compared to the other groups. These findings shed light on the unique and heterogenous experiences of international students at the onset of the pandemic. They also add nuance to the social compensation hypothesis by delineating person-specific associations between psychosocial well-being and social media use.

Published
2022

9. A stochastic gradient descent approach with partitioned-truncated singular value decomposition for large-scale inverse problems of magnetic modulus data

Author

Li, Wenbin, Wang, Kangzhi, and Fan, Tingting

Subjects
Mathematics - Numerical Analysis
Abstract

We propose a stochastic gradient descent approach with partitioned-truncated singular value decomposition for large-scale inverse problems of magnetic modulus data. Motivated by a uniqueness theorem in gravity inverse problem and realizing the similarity between gravity and magnetic inverse problems, we propose to solve the level-set function modeling the volume susceptibility distribution from the nonlinear magnetic modulus data. To deal with large-scale data, we employ a mini-batch stochastic gradient descent approach with random reshuffling when solving the optimization problem of the inverse problem. We propose a stepsize rule for the stochastic gradient descent according to the Courant-Friedrichs-Lewy condition of the evolution equation. In addition, we develop a partitioned-truncated singular value decomposition algorithm for the linear part of the inverse problem in the context of stochastic gradient descent. Numerical examples illustrate the efficacy of the proposed method, which turns out to have the capability of efficiently processing large-scale measurement data for the magnetic inverse problem. A possible generalization to the inverse problem of deep neural network is discussed at the end.

Published
2022
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16. Rapid identification method for Russula japonica based on visual and real-time fluorescent loop-mediated isothermal amplification strategies

Author

ZHAO Lanxin, ZHAO Xiaoyan, YI Siliang, TIAN Enjing, FAN Tingting, ZHAO Zhiyong, and ZHOU Changyan

Subjects
russula japonica, visual loop-mediated isothermal amplification, real-time loop-mediated isothermal amplification, rapid identification, mushroom products, Food processing and manufacture, TP368-456, Nutrition. Foods and food supply, TX341-641
Abstract

ObjectiveA method for the rapid detection of Russula japonica was established based on a visual or real-time fluorescent loop-mediated isothermal amplification （LAMP） strategy.MethodsA LAMP primer group targeting the internal transcribed spacer sequence of R. japonica was designed and primer specificity was tested in 23 mushroom species. The sensitivity of the method was assessed by detecting DNA at a series of concentrations ranging from 10 ng/μL to 1 fg/μL.ResultsThe designed primers specifically identified R. japonica without cross-reaction with the other 22 mushroom species. Both developed LAMP methods could detect as low as 2 pg/μL of a DNA template or 1% R. japonica in different mushroom mixtures.ConclusionThe established method is suitable for rapid on-site identification of R. japonica and can be applied to fresh， dried， or cooked mushroom samples， with a detection time of

Published
2023
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29. Lobar Pneumonia

Author

Liu, Bailu, Fan, Tingting, Li, Shijie, Li, Hongjun, editor, Liu, Jingzhe, editor, and Li, Li, editor

Published
2023
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38. Lung Abscess

Author

Liu, Bailu, Fan, Tingting, Li, Shijie, Li, Hongjun, editor, Liu, Jingzhe, editor, and Li, Li, editor

Published
2023
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