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Your search keyword '"Xin, Tingting"' showing total 26 results
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26 results on '"Xin, Tingting"'

4. Nursing students' motivation for choosing a career in geriatric nursing: A cross-sectional study.

Author

Wang, Yuxi, Yang, Jinhong, Wang, Lin, Liu, Jiang, Xin, Tingting, Gao, Lunan, and Liu, Yuxiu

Abstract

With the world's population aging, geriatric care is more important than ever before. However, many studies have shown that nursing students are less likely to choose geriatric nursing as career than other nursing fields. Nursing students play a vital role in the development of geriatric nursing. Thus, this study aimed to explore the current situation of nursing students' career choice motivation in geriatric nursing and to analyze the influencing factors. A cross-sectional survey was conducted. This study was performed from March 2021 to September 2022 among nursing students from four universities in Shandong Province, China. Data on nursing students' attitudes toward geriatric, aging anxiety, knowledge about aging, and career choice motivation were collected through questionnaires, and analyzed by ANOVA, Pearson correlation, and multiple linear regression. A total of 1007 questionnaires were collected. Nursing students' career expectancy score for geriatric nursing was 19.06 ± 4.00 and the value score was 46.65 ± 7.50. The study revealed that gender, education level, taking geriatric care courses, experience in caring for older adults, believing in bright prospects for geriatric care, geriatric attitudes, and aging anxiety were critical factors that influenced nursing students' motivation in choosing a career in geriatric nursing. Nursing students' motivation to choose a career in geriatric care needs to be improved in China. Nursing educators should take interventions to actively guide students and promote the cultivation of geriatric nursing talent. [ABSTRACT FROM AUTHOR]

Published
2024
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24. FM jamming cancellation suppression based on noise floor estimation with dynamic threshold

Author

Yang Lin, Guohong Wang, Jie Bai, Min Wu, Shichao Liu, and Xin Tingting

Subjects
Narrowband, Colors of noise, lcsh:TA1-2040, Spectral density estimation, Jamming, Time domain, Filter (signal processing), lcsh:Engineering (General). Civil engineering (General), Signal, Algorithm, Noise floor
Abstract

Technique of FM jamming time domain cancellation suppression based on noise floor estimation with dynamic threshold is researched, by using the colored noise NLR filter estimation algorithm instead of the narrowband filtering algorithm, the problem that the target echo signal is lost in the process of jamming amplitude estimation is solved. Through the phase analysis of the jamming signal, the problem of jamming signal amplitude estimation in the background of echo signal is transformed into the problem of useful signals spectral estimation in colored noise background. Combined with the characteristics of the low frequency components of the useful signal, the traditional NLR filtering algorithm is improved by adding the dynamic threshold, so as to achieve the purpose of colored noise’s non-invasive estimation, and then to obtain more accurate jamming signal amplitude estimation. The simulation results show that compared with the traditional jamming cancellation algorithm, this algorithm can improve the SJR of the echo signal better and the anti - jamming ability is stronger.

Published
2017

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