Water Dragon Boat Training Monitoring System Based on Multisensor Data Fusion Technology

With the development of science and technology, a variety of electronic devices have entered our lives, making our lives more intelligent and making our work more effective. This article is aimed at studying the application of multisensor data fusion technology to the water dragon boat training monitoring system. In that case, we can analyze the various physical indicators of dragon boat athletes based on the data reflected by these sensors, when they can reach their physical limits and can perform in the best state to obtain the best results. The sensor is used to decompose the relevant data of each part of the athlete’s limbs. This step is based on the image and understands the maximum value of the data to adjust the training goal. This article proposes some data fusion algorithms, using Kalman filter method, Bayesian estimation method, and DS evidence theory algorithm to compare data fusion systems, through the comparison to find the best fusion accuracy, and then get the most suitable method is then applied to this water dragon boat monitoring system to enhance the training efficiency of dragon boat athletes. The experimental results in this paper show that when the value of the parameter increases from 0.97 to 2.5, the average classification accuracy of the k -NN classifier decreases from 0.97 to 0.4, and the accuracy of the fusion results of the three fusion rules is also reduced correspondingly, but in this paper proposed, RP fusion rule still has better performance than the other two fusion rules. When the classifier is k -NN, the three fusion rules increase with the number of sensors, and the accuracy of the fusion results is correspondingly improved. However, the final fusion accuracy obtained by the RP fusion rule proposed in this paper is always better than NB integration rules, and WMV integration rules are higher. Through these analyses, a training program that is most suitable for dragon boat athletes can be worked out, so that the athletes will not be useless. Multisensor data fusion technology brings great convenience to water dragon boat training and can provide more reasonable and accurate data to explore a practical way on the basis of ensuring the safety of personnel.

Preventive Effect of Egg Membrane Protein Supplementation on Dragon Boat Sports Injury under the Monitoring of Artificial Intelligence and Big Data

Dragon boat is an excellent traditional national sport in China, with excellent fitness results. Based on the country’s strong support for traditional national sports, the dragon boat has developed into a traditional national sport with specific influence and popularity among the masses. Eggshell membrane (ESM) has the effect of relieving arthritis, joint pain, and joint stiffness. The supplementary ESM’s preventive effect on sports injuries has attracted people’s attention. Based on this, this article builds a sports injury prediction model under artificial intelligence and big data monitoring to accurately predict the injuries suffered by athletes, provide help to reduce athletes’ injuries during training, and promote the development of dragon boat sports. This article selects 20 members of a dragon boat team from a university and randomly divides them into a control group (supplement of equal amounts of whey protein), a normal group, an ESM low-dose group (26 mg/kg bw/d), and an ESM high-dose group (52 mg/kg bw/d), with 5 people in each group. The subjects were subjected to downhill exercise and immune stimulation experiments. Among them, the subjects in the control group performed downhill exercise for 12 hours, and they were tested for lactic acid (LAC), lactate dehydrogenase (LDH), urea, malondialdehyde (MDA), hemoglobin (Hb), blood creatinine (CRE), and other related physical and chemical indicators. The other three groups of subjects did not take low-dose and high-dose ESM for 7 consecutive days and were injected with lipopolysaccharide on the 8th day for immune stimulation and tested for interferon (IFN-γ), tumor necrosis factor (TNF-α), interleukins (IL-1β, IL-6, and IL-10), and other related cytokines. The results show that oral egg membrane protein (ESM) can reduce subjects’ serum LAC, LDH, urea, MDA, Hb, and CRE concentration. In addition, the ESM can reduce the expression of proinflammatory factors IL-1β and TNF-α, while increasing the expression of anti-inflammatory factor IL-10, which provides clinical data for the clinical use of ESM as a supplement for sports injury or for relieving arthritis symptoms. The study shows that egg membrane protein has a protective effect against sports injury and may be regulated by inflammatory factors.

The "Awal Mula Peh Cun di Tangerang": An Animated Film about Acculturation of Chinese Culture Fort in Tangerang

The Peh Cun tradition is an Indonesian tradition that is acculturated with Chinese culture. The celebration of the Peh Cun tradition in Tangerang City is one of the oldest Peh Cun celebrations in Indonesia. In the celebration of Peh Cun there are many activities carried out such as: prayer, dragon boat race, eating Bacang, and also the people's market. The purpose of this design is to participate in preserving and introducing the Peh Cun tradition of the Chinese Benteng community in Tangerang to the Indonesian people with an age range of 7-20 years through the medium of short animated films. The benefits of this design are expected to increase public knowledge about one of the acculturation cultures that exist in Indonesia so that this culture remains sustainable. The design of the short animated film is carried out in a two-dimensional style suitable for cartoon type films so that it can be enjoyed by various ages, and the distribution of this short film is carried out through social media such as Instagram and Youtube as an educational function.

Application Research of Internet of Things Technology in the Causes of Dragon Boat Sports Injury

In recent years, the Internet of Things technology can effectively innovate applications and services. The Internet of Things technology has become more and more popular. It provides an effective and direct bridge between the physical world and virtual objects in cyberspace. With the increase in the intensity of dragon boat training and the increasingly fierce competition, the possibility of injury is increasing. Dragon boat racing is a noncontact team sport based on strength and technology. The purpose of this paper is to solve the problem of people's lack of understanding of the sports injuries and causes of dragon boat athletes. We used the data fusion algorithm and cluster maintenance optimization algorithm to study the application of Internet of Things technology in the cause of dragon boat sports injury. In order to save energy, extend the network life cycle, shorten service interruption time, and increase data packet transmission, the cluster maintenance optimization algorithm in this paper mainly improves and optimizes the startup time of cluster maintenance, which depends on the maintenance cost. The experiment result shows that the etiological detection system proposed in this paper matches the actual sports injury results well. The experiment result shows that the research on the cause of injury in dragon boat sports based on Internet of Things technology can detect the damage law well and can have a more comprehensive understanding for the cause of injury, which helps to prevent injuries better and take effective treatments. In the analysis part, it can be concluded that the detection system is very accurate in detecting the cause, and the accuracy rate is basically 100%.

QUALITY OF LIFE IN BREAST CANCER SURVIVORS: AN ASSESSMENT OF INTERNATIONAL BREAST CANCER DRAGON BOAT RACERS

Resistance exercise is deemed safe for women recovering from conventional breast cancer therapies but few clinicians are aware that dragon boat racing, as a form of resistive exercise, is available to the breast cancer community. The objectives of this study were to 1) increase clinician awareness of dragon boat racing (DBR) in breast cancer survivors as a community-based physical activity, and 2) evaluate quality of life (QOL) in breast cancer survivors with or without lymphedema who participate in DBR. This prospective, observational study surveyed 1,069 international breast cancer dragon boat racers from eight countries to compare function, activity, and participation in women with and without self-reported lymphedema using the Lymph-ICF questionnaire. Seventy-one percent of women (n=758) completed the questionnaires. Results revealed significantly higher Lymph-ICF scores in the lymphedema participants, signifying reduced QOL, when compared to the nonlymphedema participants (p<0.05), except for "go on vacation" for which no statistical difference was reported (p=0.20). International breast cancer survivors with lymphedema participating in DBR at an international competition had reduced function, limited activity, and restricted participation compared to participants without lymphedema. Clinicians should consider utilizing DBR as a community-based activity to support exercise and physical activity after a breast cancer diagnosis.

Ethnobotanical study on herbal market at the Dragon Boat Festival of Chuanqing people in China

Background The Chuanqing people (穿青人) are a linguistic group native to the Guizhou Province of China, with unique culture and rich knowledge of traditional medicinal plants. Herbal market at Dragon Boat Festival (DBF) plays an important role in the inheritance of traditional medicinal knowledge among the Chuanqing people. This study aims to record the profile of medicinal plants of the Chuanqing people, discuss the dilemmas faced by their inheritance, and propose some strategies for passing down information, which is critical for the inheritance and protection of the Chuanqing people’s traditional medical knowledge. Methods Data were collected through key informants and semi-structured interviews and free listing. Collected voucher specimens were identified using by botanical taxonomy method and deposited in the herbarium. Data were analyzed through use-value (UV) and cultural importance index (CI) values. Medicinal plants were compared with the Information System of Chinese Rare and Endangered Plants of the Chinese Academy of Sciences. Results were compared with the Pharmacopoeia of the People’s Republic of China (ChP), the Quality Standard of Traditional Chinese Medicine and National Medicine in Guizhou Province (QSG), and traditional medicines of Southeast Asian countries. Results A total of 102 species from 53 families and 92 genera were recorded, with Orchidaceae and Asparagaceae (six species each), and Berberidaceae and Asteraceae (five species each) as the predominant families. The whole plant (36%) was the most common medicinal part. Decoction (44%) was the most common preparation method. Seventy-one investigated human ailments were grouped into 12 categories. Diseases of the musculoskeletal system (34 mentions) were most frequently mentioned in this study. Moreover, the most frequently used taxon was Hedera sinensis (Tobler) Hand.-Mazz. (UV and CI = 0.29). The Chuanqing people’s medicine was highly similar to ChP and QSG. In comparison with Southeast Asian countries’ traditional medicines, except for the same preparation methods, the similarities in terms of medicinal ingredients, plants, and disease treatment were very low. Conclusions The herbal market at the DBF is an important platform for exchanging knowledge about the Chuanqing people’s traditional medicinal plants. The Chuanqing people’s traditional medicine is facing many challenges to its inheritance and development. To solve these problems, this study highlights the traditional medicinal knowledge of the Chuanqing people, providing basic data for further research and protection of minority medicine.

An ethnobotanical study on the Chuanqing People of China based on an herbal market survey at the Dragon Boat Festival

Background: The Chuanqing (穿青人) are an ethnic group native to the Guizhou Province of China, with a unique culture and rich knowledge of traditional medicinal plants. The herbal market at the Dragon Boat Festival (DBF) plays an important role in the inheritance of traditional medicinal knowledge among the Chuanqing. This study aims to record the profile of medicinal plants of the Chuanqing, discuss the dilemmas faced by its inheritance and propose strategies. Such information is important for the inheritance and protection of the Chuanqing’s traditional medical knowledge. Methods: Data were collected through key informant interviews, semi-structured interviews and free listing. The collected voucher specimens were identified and deposited in the herbarium. The medicinal plants were compared with the Information System of Chinese Rare and Endangered Plants of the Chinese Academy of Sciences. The results were compared with those of the pharmacopeia of the People's Republic of China (ChP) and the Quality Standard of TCM, and National Medicine in Guizhou Province (QSG) and traditional medicines of Southeast Asian countries. Data were analyzed with use-value (UV) and cultural importance index (CI) values. Results: A total of 102 species from 53 families and 92 genera were recorded, with Orchidaceae and Asparagaceae (6 species each), Berberidaceae and Asteraceae (5 species each) as the predominant families. Whole plant (36%) was the most common medicinal part. Decoction (44%) was the most common preparation method. Seventy-one investigated human ailments were grouped into 12 categories. Diseases of the musculoskeletal system (34 mentions) were the most frequently mentioned in this study. Moreover, the most frequently used taxon was Hedera sinensis (Tobler) Hand.-Mazz. (UV and CI=0.29). A total of 9 medicinal plants were recorded in the Information System of Chinese Rare and Endangered Plants of the Chinese Academy of Sciences. The Chuanqing’s medicine had high similarity with ChP and QSG. While it had a high similarity in preparation method, and low similarity in medicinal parts, plant families and disease treatments with traditional medicines in Southeast Asian countries.Conclusions: The traditional herbal market at the DBF is an important platform for communicating traditional medicinal plant knowledge of the Chuanqing. There are some differences and connections between the Chuanqing's medicine, Chinese traditional medicines, and traditional medicines in Southeast Asian countries. The Chuanqing's traditional medicine is facing many difficulties in the inheritance and development. More scientific research and policies planning are needed to solve it. This study highlights the traditional medicinal knowledge of the Chuanqing, providing basic data for further research on and protection of minority medicine.

An ethnobotanical study on the Chuanqing People of China based on an herbal market survey at the Dragon Boat Festival

Background: The Chuanqing People (穿青人) are an ethnic group native to Guizhou Province of China, with a unique culture and rich knowledge of traditional medicinal plants. The herbal market at the Dragon Boat Festival plays an important role in the inheritance of traditional medicinal knowledge among the Chuanqing People. This study aims to record the characteristics, current situation, and problems of medicinal plant usage by the Chuanqing People of China. Such information is important for the inheritance and protection of the Chuanqing People’s traditional medical knowledge. Methods: Data were collected through key informant interviews, semi-structured interviews, and taxonomic identification. The results were compared with those of traditional Chinese medicine and other ethnic medicines in Guizhou Province. Data were analyzed with use-value (UV) and cultural importance index (CI) values. Results: A total of 102 species from 53 families and 92 genera were recorded, with Orchidaceae and Asparagaceae (6 species each), Berberidaceae and Compositae (5 species each), and Apocynaceae, Ranunculaceae, Rosaceae, and Polygonaceae (4 species each) as the predominant families. The most frequently used taxon was Hedera nepalensis var. sinensis (Tobler) Rehder (UV and CI=0.29). Moreover, 71 investigated human ailments were grouped into 12 categories. Diseases of the musculoskeletal system and connective tissue (34 mentions) were the most frequently mentioned in this study. Conclusions: The traditional herbal market during the Dragon Boat Festival is a hotspot of traditional medicinal plant knowledge of the Chuanqing People. However, urbanization threatens the inheritance of local medicinal plant knowledge. This study highlights the traditional medicinal knowledge of the Chuanqing People, providing basic data for further research on and protection of minority medicine.