http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Exploring the Trend of Ski Using Social Network Analysis: International Journal Analysis
( Mingliang Zhang ),( Kyungsik Kim ) 아시아스포츠융합과학회 2021 Asia Pacific Journal of Applied Sport Sciences Vol.2 No.3
PURPOSE This study aimed to investigate: 1) the change of the key research keywords by period; 2) the key symbolic keywords that represent 20 years of ski research; 3) the sub-research area of ski research. METHOD We searched international journal articles on Web of Science websites and used bibliometrics and keyword networks to determine ski related research trends. To this end, we researched ski sub-research areas of 873 papers published between 2000 and 2019 in 69 international journals involving ski research. This study used python for bibliometrics and word frequency statistics, and centrality analysis cohesion analysis for Netminer. RESULT There have been changes in the keywords for ski research in different time periods. Keywords such as skiing, injury, skier, sports, athlete, training etc. were important in the 2000s. In 2010s, keywords such as speed, strength, women, system, jumping were deemed to be important. In the 2000s, co-words such as knee-injury, sport-injury, ski-downhill, injury-pattern were important, while co-words such as cup-world, level-skill, female-male, illness-injury were particularly important in the 2010s. In the past 20 years, ski research has mainly focused on three major projects’ analysis: cross-country skiing, alpine skiing, and snowboarding. Ski, skier, injury, performance, athlete, sport, time, training have been the core keywords of ski research in the past 20 years. Co-words such as alpine-ski, cross country-skier, alpine-skier are research priorities in the ski field. These keywords represent the research direction in the ski field and development trends. Finally, sub-research area of ski includes four groups: ski and measure, ski and training, ski risk and injury, and ski and technique. CONCLUSION A few core keywords have made a relatively large contribution to the formation of ski knowledge structure; keyword network analysis provides new ideas and research methods for exploring the ski structure and development trends, which is a major academic breakthrough.
A Social Network Analysis of Ski Research Topics in China
( Mingliang Zhang ),( Weiqi Chai ),( Wangda Guo ),( Bin Li ) 아시아스포츠융합과학회 2020 Asia Pacific Journal of Applied Sport Sciences Vol.1 No.3
PURPOSE The purposes of this paper were to: (1) study the development process of skiing knowledge network and to understand the research focus and development trend of skiing in different periods, and (2) to analyze the sub areas of ski cohesion research. METHOD Using CiteSpace visualization software of bibliometrics, a social network analysis was conducted on a total of 325 papers on 14 sports professional core journals in China Knowledge Network (CNKI) from 1990 to 2019. RESULT The research results showed that the amount of articles on skiing topics has been increased rapidly and the ski research themes change over time. In last 10 years, the main focuses of the research were Winter Olympics, ski tourism, ski industry, freestyle skiing aerials and competitive sports. The Winter Olympics, ice and snow sports and ski industry are the current and future hot research topics and frontiers. The knowledge structure consists of eight theme fields, including Winter Olympics, ski resorts, ice and snow sports, ice and snow industry, ski tourism, sports management, freestyle skiing aerials and snowboarding u-track skiing. CONCLUSION First of all, in the past 30 years, keywords in the field of ski research have undergone great changes. The Winter Olympics and ski industry topics are the current and future key research trends. In-depth research on these two topics will be an important challenge for scholars. Secondly, keyword network analysis provides new ideas and research methods for exploring the structure and development trend of the skiing field.
Using Visual Knowledge Graph to Explore the Research Trend of Resistance Training in China
( Mingliang Zhang ),( Bin Li ) 아시아스포츠융합과학회 2020 Asia Pacific Journal of Applied Sport Sciences Vol.1 No.1
PURPOSE The purpose of this study was to explore the development and research trends of resistance training and to study the knowledge structure of resistance training. METHOD Using the bibliometric Citespace visualization software, we analyzed the 416 articles on resistance training that include word frequency and centrality, time zone view, and keyword clustering studies in the CNKI database in the last 20 years. RESULT Over the past two decades, the number of publications on resistance training in China has shown an increasing trend. The research evolution process has gone through three stages: initial exploration, transitional development, and deepening and expansion. Research hotspots mainly focus on resistance exercise, strength training in sports and aerobic exercise, exercise Therapy, exercise prescription, skeletal muscle and muscle strength and the objects involved are concentrated on patients, diabetes and special populations. It was also found that the topics studied in the last 5 years were focused on diabetes, obesity, rehabilitation and special populations; the knowledge construction consists of 9 sub-field of resistance training, resistance Exercise, aerobic exercise, muscle strength, muscle mass, strength training, sports, athletic performance and bone density. CONCLUSION The field of resistance training research has changed dramatically over the past 20 years. It is expected that research journals will increase year by year over the next 5 years, and the focus of research will be around diabetes, obesity, and special populations. Resistance training research will slowly be integrated into medicine.
Integrated fault location method for distribution networks based on IACO‑PS
Shuqing Zhang,Xiaowen Zhang,Anqi Jiang,Liguo Zhang,Mingliang Li 전력전자학회 2023 JOURNAL OF POWER ELECTRONICS Vol.23 No.1
This paper develops a new hybrid method based on an improved ant colony optimization algorithm that incorporates pattern search (IACO-PS) for determining the location of faults in a distribution network. The performance of the conventional ant colony optimization (ACO) algorithm is improved using the opposite-based learning strategy to generate the initial population and adding a weight coefficient into the pheromone update mechanism to dynamically adjust the pheromone volatilization factor. The hybrid IACO-PS algorithm combines the individual strengths of ACO and PS. In addition, the fitness function is constructed by counting the false and missing fault information into the fault variable. In optimizing benchmark function experiments, the proposed hybrid IACO-PS presents a superior performance when compared to other improved versions of ACO. The effectiveness of the proposed approach is corroborated by tests performed on an IEEE 134-bus network. Simulation results show that the proposed hybrid IACO-PS method can determine the location of a fault even in the presence of fault distortion. In addition, it is immune to noise and data loss errors. Finally, the method proposed in this paper significantly outperforms other published fault location methods, and it can accurately locate faults and identify the type of distortion.
Antiviral effects of Bovine antimicrobial peptide against TGEV in vivo and in vitro
Xiuli Liang,Xiaojun Zhang,Kaiqi Lian,Xiuhua Tian,Mingliang Zhang,Shiqiong Wang,Cheng Chen,Cunxi Nie,Yun Pan,Fangfang Han,Zhanyong Wei,Wen-Ju Zhang 대한수의학회 2020 Journal of Veterinary Science Vol.21 No.5
Background: In suckling piglets, transmissible gastroenteritis virus (TGEV) causes lethal diarrhea accompanied by high infection and mortality rates, leading to considerable economic losses. This study explored methods of preventing or inhibiting their production. Bovine antimicrobial peptide-13 (APB-13) has antibacterial, antiviral, and immune functions. Objectives: This study analyzed the efficacy of APB-13 against TGEV through in vivo and in vitro experiments. Methods: The effects of APB-13 toxicity and virus inhibition rate on swine testicular (ST) cells were detected using 3-(4,5-dimethylthiazol-2-yl)-2, 5-diphenyl tetrazolium bromide (MTT). The impact of APB-13 on virus replication was examined through the 50% tissue culture infective dose (TCID50). The mRNA and protein levels were investigated by real-time quantitative polymerase chain reaction and western blot (WB). Tissue sections were used to detect intestinal morphological development. Results: The safe and effective concentration range of APB-13 on ST cells ranged from 0 to 62.5 μg/mL, and the highest viral inhibitory rate of APB-13 was 74.1%. The log10TCID50 of 62.5 μg/mL APB-13 was 3.63 lower than that of the virus control. The mRNA and protein expression at 62.5 μg/mL APB-13 was significantly lower than that of the virus control at 24 hpi. Piglets in the APB-13 group showed significantly lower viral shedding than that in the virus control group, and the pathological tissue sections of the jejunum morphology revealed significant differences between the groups. Conclusions: APB-13 exhibited good antiviral effects on TGEV in vivo and in vitro.