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1. Intervention efficacy of exercise prescription on parachute training stress-related emotion in special operations forces

Author

CHEN Nansheng, SHENG Li, NIU Haijun, WANG Wang, and RAO Fang

Subjects
airborne operations, special forces soldiers, exercise prescription, acute stress, mood states, emotional level, Medicine (General), R5-920
Abstract

Objective To explore the intervention efficacy of exercise prescription (EP) on stress-related emotions in parachute training for special operations force (SOF) soldiers. Methods A total of 40 SOF soldiers undergoing parachute training in a military college from April to July 2016 were subjected as the research objects, and were randomly divided into experimental group (n=19) and control group (n=20). The participants from the former group received EP intervention training, while those of the latter group did not. Profile of mood states scale (POMS), acute stress response scale (ASRS) and sensitive physiological and biochemical indicators were used to compare the intervention efficacy on parachute related stress between the 2 groups. Results After 8 weeks of EP training, the results of POMS indicated that all factors were greatly improved in the experimental group than the control group (P < 0.05, P < 0.01). In the experimental group, the score of negative emotions was decreased by 21.48, while those of positive emotions increased by 12.38. But no such significant changes were seen in the control group. Compared with the control group, the scores of ASRS items were significantly reduced in the experimental group (P < 0.05, P < 0.01). The results of blood physiological and biochemical indicators showed that the sensitive indicators, serum atrial natriuretic factor (ANP), angiotensin-Ⅱ (Ang-Ⅱ) and endothelin (ET) were obviously decreased in the experimental group than the control group (P < 0.05, P < 0.01). Conclusion Exercise prescription exerts intervention effect on the adverse reactions of parachute-related stress emotions in SOF soldiers.

Published
2019
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6. Relationships between brain structure-function coupling in normal aging and cognition: A cross-ethnicity population-based study

Author

Liu, Chang, Jing, Jing, Jiang, Jiyang, Wen, Wei, Zhu, Wanlin, Li, Zixiao, Pan, Yuesong, Cai, Xueli, Liu, Hao, Zhou, Yijun, Meng, Xia, Zhang, Jicong, Wang, Yilong, Li, Hao, Jiang, Yong, Zheng, Huaguang, Wang, Suying, Niu, Haijun, Kochan, Nicole, Brodaty, Henry, Wei, Tiemin, Sachdev, Perminder, Liu, Tao, and Wang, Yongjun

Published
2024
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7. Exploring the link between brain topological resilience and cognitive performance in the context of aging and vascular risk factors: A cross-ethnicity population-based study

Author

Liu, Hao, Jing, Jing, Jiang, Jiyang, Wen, Wei, Zhu, Wanlin, Li, Zixiao, Pan, Yuesong, Cai, Xueli, Liu, Chang, Zhou, Yijun, Meng, Xia, Wang, Yilong, Li, Hao, Jiang, Yong, Zheng, Huaguang, Wang, Suying, Niu, Haijun, Kochan, Nicole, Brodaty, Henry, Wei, Tiemin, Sachdev, Perminder S., Fan, Yubo, Liu, Tao, and Wang, Yongjun

Published
2024
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8. Network resilience in the aging brain

Author

Liu, Tao, Guo, Shu, Liu, Hao, Kang, Rui, Bai, Mingyang, Jiang, Jiyang, Wen, Wei, Pan, Xing, Tai, Jun, Li, Jianxin, Cheng, Jian, Jing, Jing, Wu, Zhenzhou, Niu, Haijun, Zhu, Haogang, Li, Zixiao, Wang, Yongjun, Brodaty, Henry, Sachdev, Perminder, and Li, Daqing

Subjects
Quantitative Biology - Neurons and Cognition
Abstract

Degeneration and adaptation are two competing sides of the same coin called resilience in the progressive processes of brain aging or diseases. Degeneration accumulates during brain aging and other cerebral activities, causing structural atrophy and dysfunction. At the same time, adaptation allows brain network reorganize to compensate for structural loss to maintain cognition function. Although hidden resilience mechanism is critical and fundamental to uncover the brain aging law, due to the lack of datasets and appropriate methodology, it remains essentially unknown how these two processes interact dynamically across brain networks. To quantitatively investigate this complex process, we analyze aging brains based on 6-year follow-up multimodal neuroimaging database from 63 persons. We reveal the critical mechanism of network resilience that various perturbation may cause fast brain structural atrophy, and then brain can reorganize its functional layout to lower its operational efficiency, which helps to slow down the structural atrophy and finally recover its functional efficiency equilibrium. This empirical finding could be explained by our theoretical model, suggesting one universal resilience dynamical function. This resilience is achieved in the brain functional network with evolving percolation and rich-club features. Our findings can help to understand the brain aging process and design possible mitigation methods to adjust interaction between degeneration and adaptation from resilience viewpoint., Comment: 24 pages, 6 figures

Published
2022

43. Mandarin Electrolaryngeal Speech Recognition Based on WaveNet-CTC

Author

Qian, Zhaopeng, Wang, Li, Zhang, Shaochuan, Liu, Chan, and Niu, Haijun

Abstract

Purpose: The application of Chinese Mandarin electrolaryngeal (EL) speech for laryngectomees has been limited by its drawbacks such as single fundamental frequency, mechanical sound, and large radiation noise. To improve the intelligibility of Chinese Mandarin EL speech, a new perspective using the automatic speech recognition (ASR) system was proposed, which can convert EL speech into healthy speech, if combined with text-to-speech. Method: An ASR system was designed to recognize EL speech based on a deep learning model WaveNet and the connectionist temporal classification (WaveNet-CTC). This system mainly consists of 3 parts: the acoustic model, the language model, and the decoding model. The acoustic features are extracted during speech preprocessing, and 3,230 utterances of EL speech mixed with 10,000 utterances of healthy speech are used to train the ASR system. Comparative experiment was designed to evaluate the performance of the proposed method. Results: The results show that the proposed ASR system has higher stability and generalizability compared with the traditional methods, manifesting superiority in terms of Chinese characters, Chinese words, short sentences, and long sentences. Phoneme confusion occurs more easily in the stop and affricate of EL speech than the healthy speech. However, the highest accuracy of the ASR could reach 83.24% when 3,230 utterances of EL speech were used to train the ASR system. Conclusions: This study indicates that EL speech could be recognized effectively by the ASR based on WaveNet-CTC. This proposed method has a higher generalization performance and better stability than the traditional methods. A higher accuracy of the ASR system based on WaveNet-CTC can be obtained, which means that EL speech can be converted into healthy speech.

Published
2019
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46. Quantitative EEG in Mild Cognitive Impairment and Alzheimer’s Disease by AR-Spectral and Multi-scale Entropy Analysis

Author

Chai, Xiaoke, Weng, Xiaohong, Zhang, Zhimin, Lu, Yangting, Liu, Guitong, Niu, Haijun, Magjarevic, Ratko, Editor-in-Chief, Ładyżyński, Piotr, Series Editor, Ibrahim, Fatimah, Series Editor, Lacković, Igor, Series Editor, Rock, Emilio Sacristan, Series Editor, Lhotska, Lenka, editor, Sukupova, Lucie, editor, and Ibbott, Geoffrey S., editor

Published
2019
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47. A Hybrid BCI-Based Environmental Control System Using SSVEP and EMG Signals

Author

Chai, Xiaoke, Zhang, Zhimin, Lu, Yangting, Liu, Guitong, Zhang, Tengyu, Niu, Haijun, Magjarevic, Ratko, Editor-in-Chief, Ładyżyński, Piotr, Series Editor, Ibrahim, Fatimah, Series Editor, Lacković, Igor, Series Editor, Rock, Emilio Sacristan, Series Editor, Lhotska, Lenka, editor, Sukupova, Lucie, editor, and Ibbott, Geoffrey S., editor

Published
2019
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