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Immediate Effects of Stretching Combination on Warm-up and Performance of Swing Players
Yuchun Wang,Yidan Niu,Yiqiao Wang,Yu Zang 아시아건강운동학회 2023 Journal of Asian Society for Health & Exercise Vol.5 No.1
PURPOSE : The purpose of this study was to determine the effects of six muscle stretching combinations on the muscle performance and blood supply of pectoralis major of sub-elite swing athletes. RESULTS : A total of 90 male athletes aged 18-25 participated and divided into six groups on average: SS60s DS30s (1); SS45s DS45s (2); SS30s DS60s (3); DS60s SS30s (4); DS45s SS45s (5); DS30s SS60s (6). After stretching, the maximum blood flow velocity of group (1) increased by 74.91±52.73cm/s (p< 0.01), and the blood flow increased by 3.82±2.93ml/s (p<0.01). The maximum blood flow velocity of group (2) increased by 25.71±33.20cm/s (p<0.05), and the blood flow increased by 1.10±1.56ml/s (p<0.05); Group (3) showed a decrease in blood flow of 10.70±45.68ml/s (p>0.05), while the maximum blood flow increased by 30.93±63.49cm/s (p>0.05). After stretching, there were significant differences in blood flow and velocity among groups. In group (1), adductor muscle strength decreased by 0.35±4.47 (p>0.05)and supinator muscle strength decreased by 0.99±5.22 (p>0.05), while abductor muscle strength increased by 1.43±8.26 (p>0.05) and supinator muscle strength increased by 0.97±4.58 (p>0.05). In group (2), the adductor muscle strength increased by 2.52±2.95 (p<0.01). Abductor muscle strength increased by 1.2±6.62 (p>0.05) and external rotation muscle strength increased by 1.18±2.28 (p>0.05), while internal rotation muscle strength decreased by 0.36±2.50 (p>0.05). In group (3), muscle strength increased, but both were not statistically significant. After the experiment, there was no significant difference in muscle strength among the groups.
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DIntrusion Detection in WSN with an Improved NSA Based on the DE-CMOP
( Weipeng Guo ),( Yonghong Chen ),( Yiqiao Cai ),( Tian Wang ),( Hui Tian ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.11
Inspired by the idea of Artificial Immune System, many researches of wireless sensor network (WSN) intrusion detection is based on the artificial intelligent system (AIS). However, a large number of generated detectors, black hole, overlap problem of NSA have impeded further used in WSN. In order to improve the anomaly detection performance for WSN, detector generation mechanism need to be improved. Therefore, in this paper, a Differential Evolution Constraint Multi-objective Optimization Problem based Negative Selection Algorithm (DE-CMOP based NSA) is proposed to optimize the distribution and effectiveness of the detector. By combining the constraint handling and multi-objective optimization technique, the algorithm is able to generate the detector set with maximized coverage of non-self space and minimized overlap among detectors. By employing differential evolution, the algorithm can reduce the black hole effectively. The experiment results show that our proposed scheme provides improved NSA algorithm in-terms, the detectors generated by the DE-CMOP based NSA more uniform with less overlap and minimumblack hole, thus effectively improves the intrusion detection performance. At the same time, the new algorithm reduces the number of detectors which reduces the complexity of detection phase. Thus, this makes it suitable for intrusion detection in WSN.
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A Novel Intrusion Detection Approach Based on Chaos Theory in Wireless Sensor Network
Xinling Kong,Yonghong Chen,HuiTian,Tian Wang,Yiqiao Cai 보안공학연구지원센터 2016 International Journal of Security and Its Applicat Vol.10 No.11
With the development of technology, wireless sensor networks(WSNs) has been widely used in military, political, medical and other fields, their characteristics of data-centric become increasingly prominent. In this paper, a data-oriented intruding detection method based on chaos theoy is proposed. We use the theory of chaotic system to analyze the internal rules of the sensory data and predict the data by RBF neural network firstly, then make an initial detection of false injected data attack according to whether the difference between the predicted and actual value is more than the threshold, finally confirming the attack by checking whether the number of abnormal within the cycle lies in the corresponding range. Experimental results show that RBF neural network predict sensory data more accurate, our approach can effectively distinguish the abnormal events caused by the attack or environmental factors and has high intrusion detection accuracy.
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Zhan Jie,Ai Yirang,Zhan Lechang,Pan Ruihuan,Wang Yiqiao,Dong Cong,Wang Qiuchun,Chen Hongxia,Lu Liming,Li Mei 한국한의학연구원 2022 Integrative Medicine Research Vol.11 No.2
Background: Post-stroke shoulder-hand syndrome (SHS) is a common complication after stroke. To date, there is still a lack of consistently effective and good patient compliance methods for SHS. Methods: Fifty patients with SHS were included in this study. Patients in the control group received rehabilitation training (RT) for 2 weeks; each session was 30 min, 1 time per day, and 5 times per week. Patients in the observation group were additionally given Bo’s abdominal acupuncture (BAA) with the same frequency and duration. The primary outcome was the change value in the VAS score from baseline to 2 weeks. The secondary outcomes measured were motor function of the upper limb, shoulder range of motion, ADL, and swelling volume. Results: Compared with baseline values, the mean VAS score at 2 weeks was reduced by 3.68 in the observation group and by 1.92 in the control group, with a difference between the two groups of 1.84 (P < 0.001); the mean MBI score at 2 weeks increased by 10.44 in the observation group and by 4.79 in the control group, with a difference between the two groups of 5.84 (P = 0.032); the mean swelling volume at 2 weeks decreased by 9.64 in the observation group and by 3.29 in the control group, with a difference between the two groups of 6.48 (P < 0.001). BAA-related adverse events were not found during the study. Conclusions: BAA combined with RT is superior to RT alone in improving shoulder pain, swelling, and ADL in post-stroke SHS patients. Trial Registration: ChiCTR2100045464 (www.chictr.org.cn).
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