Ying Ling

Prof. Ying Ling

orcid

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
Hsiao-Hsien LinHsiao-Hsien Lin
Hsiao-Hsien Lin
YLYing Ling
Ying Ling
JLJao-Chuan Lin
Jao-Chuan Lin
CLChoufu Liang
Choufu Liang
The purpose of the research is to explore how to reach a consensus on the development of cultural tourism and the sustainability of the entire rural environment from the perspective of different rights holders. Using Beigang Township in Taiwan as a case study, we first conducted a questionnaire survey and analyzed 600 respondents by statistical verifications method, then used an interview method to compile suggestions from experts and scholars, and finally conducted a field survey to collect actual information. After summarizing, organizing, and analyzing all the data, the study was examined in a multivariate manner. This study concludes that creating parking spaces, providing a comfortable resting place, facilitating the exchange of ideas, and improving the environmental literacy of the public will increase the public attention to issues such as village visibility, people interaction, ancient architecture, culture and totems, public health and transportation, and entrepreneurial development, as well as address the concerns of local residents and some men and people over 31–40 years old. By doing so, we can improve community building and security, enrich cultural resources, build and develop sufficient industries, stabilize prices, obtain a safe and hygienic village environment, increase the desire to revisit, become a recommendation for family travel, and achieve the goal of sustainable development of rural environment and health.

23 March 2022 in Sustainability
Verified
Journal Article
Open access
PDF file
Hsiao-Hsien LinHsiao-Hsien Lin
Hsiao-Hsien Lin
IHI-Cheng Hsu
I-Cheng Hsu
TLTzu-Yun Lin
Tzu-Yun Lin
LTLe-Ming Tung
Le-Ming Tung
YLYing Ling
Ying Ling
The purpose of this study is to explore, after the epidemic, the intelligent traffic management system, which is the key to creating a green leisure tourism environment in the move towards sustainable urban development. First, quantitative research, snowballing, and convenience sampling methods are used to analyze 750 questionnaires with a basic statistical test, t-test, ANOVA test, and the Pearson product–moment correlation coefficient (PPMCC) method. Qualitative research and a semi-structured interview method are used to collect the opinions of six experts on the data results. Finally, the results are discussed with the multivariate inspection method. Although the current electric bicycle system is convenient, the study found that the service quality of the airport is sufficient; that the fare of the subway is low and popular with students if the system can ease the crowd during peak hours; and that the login and security check time can be shortened, which can help improve the operating convenience of the system interface and link the information of leisure and tourism activities. On the other hand, adjusting fares, increasing seats, planning for women-only ticketing measures and travel space, providing disinfection or cleaning facilities in public areas, and improving passenger’s public health literacy and epidemic prevention cooperation will further enhance the student travel experience, improve the smart city and green tourism network, and help achieve sustainable urban tourism.

Hsiao-Hsien LinHsiao-Hsien Lin
Hsiao-Hsien Lin
TLTzu-Yun Lin
Tzu-Yun Lin
YLYing Ling
Ying Ling
Chihcheng LoChihcheng Lo
Chihcheng Lo
This study analyzed the effects of imagery training on athletes’ imagery ability, physical anxiety and athletic performance. This study employed a mixed research approach. Snowball sampling was used to select 55 fin swimmers with imagery training experience and formal competition participation. Basic statistics were obtained, and Pearson product-moment correlation coefficient (PPMCC) analysis was performed using IBM SPSS Statistics for Windows, Version 26.0, and the results were compared with the opinions of three experts and were tested using multivariate validation methods. The results revealed that although imagery training can help athletes improve their performance and significantly reduce their anxiety during the competition, athletes can still make mistakes due to internal and environmental factors and even have negative thoughts that lead to their reduced likelihood of competition participation. By strengthening strategic and technical imagery training, we can help our fin swimmers perform at a higher level, achieve their goals, and improve overall satisfaction with their competition process and performance.

5 November 2022 in Water
Verified
Journal Article
Open access
PDF file
Hsiao-Hsien LinHsiao-Hsien Lin
Hsiao-Hsien Lin
YLYing Ling
Ying Ling
ICI-Shen Chen
I-Shen Chen
PWPEI-YI WU
PEI-YI WU
IHI-Cheng Hsu
I-Cheng Hsu
SZSu-Fang Zhang
Su-Fang Zhang
This study analyzed the effects of low-carbon tourism awareness, attitudes, and behaviors on the development of villages in the catchment area of Erhai Lake in China. We quantitatively analyzed data from 828 valid questionnaires in IBM SPSS 26.0 using Pearson correlation analysis. Thereafter, we interviewed nine respondents, including scholars, seniors, tour guides, and local businessmen, about the results. Finally, we summarized the data and subjected them to multivariate analysis. The results revealed that low-carbon tourism education and promotion increased public recognition of the need to protect the environment by using low-pollution transportation, staying close to home, and buying minimally packaged goods to create a safe leisure environment. However, many tourists are not willing to accept having to increase their budgets for accommodations, food, and living to engage in low-carbon tourism. Therefore, we suggest that increasing incentives to encourage the public to engage in low-carbon tourism and other consumption behaviors may help reduce the damage to the ecological environments of catchment areas, improve the village’s economic development, and promote the sustainable development of the catchment area.

7 March 2023 in Biotechnology and Genetic Engineering Reviews
Verified
Journal Article
Closed access
Hsiao-Hsien LinHsiao-Hsien Lin
Hsiao-Hsien Lin
Chih-Chien ShenChih-Chien Shen
Chih-Chien Shen
YLYing Ling
Ying Ling
CLChao-Yen Lin
Chao-Yen Lin
This mixed-methods study examined the effects of traditional Chinese medicine massage on the physique, athletic performance, body composition, and perceived physical and mental health of 10 middle-aged and older women by using questionnaires and multiple measurement instruments. Microsoft Office and IBM SPSS 26.0 were used for the verification and calculation of results. Multivariate analysis was employed to analyze the data. Intermittent exercise significantly influenced the body composition, physical fitness, sports performance, and physical and mental health of female college students and improved their self-confidence, sleep quality, eating habits, weight, blood pressure, and sports performance, even when not accompanied with massage. However, although the rate of improvement was stable, intermittent exercise with traditional Chinese medicine massage yielded greater improvements in abdominal muscle strength and flexibility than intermittent exercise without traditional Chinese medicine massage. In terms of physical and mental health, headache, head pressure, back pain, and sense of loss were significantly alleviated (p < 0.01) in the traditional Chinese medicine massage group.

15 June 2021 in IET Communications
Verified
Journal Article
Open access
PDF file
YLYing Ling
Ying Ling
JYJo‐Hung Yu
Jo‐Hung Yu
Chih-Chien ShenChih-Chien Shen
Chih-Chien Shen
CWChien-Hung Wu
Chien-Hung Wu
Many countries actively promote the benefits of sports; in particular, water sports are popular among the younger generation. However, despite the mature development of equipment in diving, it requires relevant training to avoid decompression sickness. Sometimes when divers encounter emergencies and they may fail to alert the coach or other companions for rescues. Currently, some divers wear emergency equipment when conducting the exercise; yet, the cost is relatively high, and the operation is complicated that people tend to forget the process when facing emergencies. This article aims to develop a wearable device that has a safety alarm function based on the technique of machine learning. The features of the suggested device are as follows: (1) cost‐effective detectors for monitoring divers' conditions; (2) a combination of an Automatic Identification System (AIS) with a Global Positioning System (GPS) to send a safety alarm with the location of the diver; (3) utilize Bluetooth communication to detect if a diver left the safety range set by the coach; (4) the machine learning technique judges the health status of the diver; (5) the wearable device connects with swim goggles to deliver danger alarms, which enables divers to notice dangerous situations from the lights on the goggles. The approach suggested in this article primarily utilizes wearable devices to ensure divers' safety. The key feature of this device can prevent divers from sweeping away by currents or swimming into risky areas; meanwhile, the device can detect the risk of decompression sickness. The research executed an experiment to verify the design, and the results have proven the feasibility of the study. Additionally, with the cost‐effective detectors installed on the device, the presented equipment has the potential to make it universal and increase the safety of divers.