• Journal of Platform Technology
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• v.11 no.4
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• pp.19-34
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• 2023

In order to identify the trends and insights of 'startups' in the global era, we conducted an in-depth trend analysis of the global startup ecosystem using Google Trends, a big data analysis platform. For the validity of the analysis, we verified the correlation between the keywords 'startup' and 'global' through BIGKinds. We also conducted a network analysis based on the data extracted using Google Trends to determine the frequency of searches for the keyword or term 'startup'. The results showed a strong positive linear relationship between the keywords, indicating a statistically significant correlation (correlation coefficient: +0.8906). When exploring global startup trends using Google Trends, we found a terribly similar linear pattern of increasing and decreasing interest in each country over time, as shown in Figure 4. In particular, startup interest was low in the range of 35 to 76 from mid-2020 due to the COVID-19 pandemic, but there was a noticeable upward trend in startup interest after March 2022. In addition, we found that the interest in startups in each country except South Korea is very similar, and the related topics are startup company, technology, investment, funding, and keyword search terms such as best startup, tech, business, invest, health, and fintech are highly correlated.

• Journal of the Korean Society for information Management
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• v.39 no.1
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• pp.17-44
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• 2022

The purpose of this study was to present a plan on the effect of non-face-to-face services on library anxiety facilities by analyzing the library anxiety factors of university library users. To this end, we look at the cases of university library user service response activities in response to the COVID-19 crisis and select 40 schools with the highest number of library visitors per student from among domestic four-year university libraries with 5,000 or more and less than 10,000 students. Methods of information service and program cases were analyzed, and K-LAS was reconstructed and surveyed for current students using the K university library, and frequency analysis, descriptive statistical analysis, exploratory factor analysis, and reliability analysis, correlation analysis, and multiple regression analysis were applied to analyze the library anxiety factors of users. Identify the relationship between 5 library anxiety factors and non-face-to-face service activation factors, such as physical/environmental factors of the library, data search selection factors, digital information system factors, librarian (staff) factors, and psychological/emotional factors, and activate non-face-to-face services. The influence of these factors on library anxiety factors was examined, and as a result, it was found that non-face-to-face service activation factors had the greatest influence on library digital information system anxiety factors. Based on the analysis results, it was attempted to derive a plan to relieve users' library anxiety by activating non-face-to-face services.

• Journal of Korean Medicine Rehabilitation
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• v.33 no.3
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• pp.135-148
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• 2023

Objectives To investigate the effectiveness of acupuncture in the treatment of post-disaster musculoskeletal pain by reviewing relevant clinical studies. Methods A systematic search was conducted across 10 electronic databases to identify relevant clinical studies on acupuncture treatment for post-disaster musculoskeletal pain until May 2023. The methodological quality was evaluated using the Cochrane Risk of Bias 2 and Risk of Bias Assessment tool for non-randomized studies tools. Results Six articles were analyzed, including two randomized controlled trials (RCTs), two before-after studies, one qualitative research, and one case series. Overall, acupuncture therapy showed some improvement in pain scale among musculoskeletal pain survivors. However, no significant improvement was observed in the Short-Form McGill Pain Questionnaire (SF-MPQ-2). Subgroup analysis of participants who completed at least four acupuncture sessions revealed a significant effect on the SFMPQ-2. Additionally, a significant improvement in 36-Item Short Form Survey (SF36P) was observed after 6 months of treatment, but the 2-month treatment period did not show statistically significant effects on SF-36P improvement. The evaluation of the methodological quality of the RCTs identified some concerns of bias. Conclusions The results suggest that acupuncture is effective in alleviating post-disaster musculoskeletal pain. However, considering the limited number of selected studies and the inclusion of subjective evaluation measures, caution should be exercised in interpreting the results. Further large-scale follow-up studies are needed to determine the optimal frequency and duration of acupuncture treatment. Well-designed controlled trials should be conducted to provide more robust evidence regarding the effectiveness of acupuncture for post-disaster musculoskeletal pain.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.3D
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• pp.409-416
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• 2006

Real-time traveler information disseminated through Variable Message Signs (VMS) is known to have effects on driver route choice decisions. In the past, many studies have attempted to optimize the system performance using VMS message content as the primary control variable of driver route choice. This research proposes a VMS information provision optimization model which searches the best combination of VMS message contents and display sequence to minimize the total travel time on a highway network considered. The driver route choice models under VMS information provision are developed using a stated preference (SP) survey data in order to realistically capture driver response behavior. The genetic algorithm (GA) is used to find the optimal VMS information provision strategies which consists of the VMS message contents and the sequence of message display. In the process of the GA module, the system performance is measured using micro traffic simulation. The experiment results highlight the capability of the proposed model to search the optimal solution in an efficient way. The results show that the traveler information conveyed via VMS can reduce the total travel time on a highway network. They also suggest that as the frequency of VMS message update gets shorter, a smaller number of VMS message contents performs better to reduce the total travel time, all other things being equal.

• Journal of Environmental Impact Assessment
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• v.32 no.6
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• pp.556-576
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• 2023

This study attempted to find a way to utilize idle spaces in rural areas as a way to respond to rural extinction. Based on the keywords "startup," "youth start-up," and "youth start-up+rural," start-up+rural," the study sought to identify the perception of idle facilities in rural areas through the keywords "Idle facilities" and "closed schools." The study presented basic data for policy direction and plan search by reviewing frequency analysis, major keyword analysis, network analysis, emotional analysis, and domestic and foreign cases. As a result of the analysis, first, it was found that idle facilities and school closures are acting importantly as factors for regional regeneration. Second, in the case of youth startups in rural areas, it was found that not only education on agriculture but also problems for residence should be solved together. Third, in the case of young people, it was confirmed that it was necessary to establish digital utilization for agriculture by actively starting a business using digital. Finally, in order to attract young people and revitalize the region through best practices at home and abroad, policy measures that can serve as various platforms such as culture and education as well as startups should be presented in connection with local residents. These results are significant in that they presented implications for youth start-ups in rural areas by reviewing start-up recognition for the influx of young people as one of the alternatives for the use of idle facilities and regional regeneration, and if additional solutions are presented through field surveys, they can be used to set policy goals that fit the reality.

• Journal of the Korea Society of Computer and Information
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• v.28 no.12
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• pp.41-48
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• 2023

In this paper, we propose an analysis of recent trends in the NFT (Non-Fungible Token) industry using topic modeling techniques, focusing on their universal application across various industrial fields. For this study, patent data was utilized to understand industry trends. We collected data on 371 domestic and 454 international NFT-related patents registered in the patent information search service KIPRIS from 2017, when the first NFT standard was introduced, to October 2023. In the preprocessing stage, stopwords and lemmas were removed, and only noun words were extracted. For the analysis, the top 50 words by frequency were listed, and their corresponding TF-IDF values were examined to derive key keywords of the industry trends. Next, Using the LDA algorithm, we identified four major latent topics within the patent data, both domestically and internationally. We analyzed these topics and presented our findings on NFT industry trends, underpinned by real-world industry cases. While previous review presented trends from an academic perspective using paper data, this study is significant as it provides practical trend information based on data rooted in field practice. It is expected to be a useful reference for professionals in the NFT industry for understanding market conditions and generating new items.

• Information Systems Review
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• v.22 no.2
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• pp.77-99
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• 2020

Smart speaker is a device that provides an interactive voice-based service that can search and use various information and contents such as music, calendar, weather, and merchandise using artificial intelligence. Since AI technology provides more sophisticated and optimized services to users by accumulating data, early smart speaker manufacturers tried to build a platform through aggressive marketing. However, the frequency of using smart speakers is less than once a month, accounting for more than one third of the total, and user satisfaction is only 49%. Accordingly, the necessity of strengthening the user experience of smart speakers has emerged in order to acquire a large number of users and to enable continuous use. Therefore, this study analyzes the user experience of the smart speaker and proposes a method for enhancing the user experience of the smart speaker. Based on the analysis results in two stages, we propose ways to enhance the user experience of smart speakers by model. The existing research on the user experience of the smart speaker was mainly conducted by survey and interview-based research, whereas this study collected the actual review data written by the user. Also, this study interpreted the analysis result based on the smart speaker user experience dimension. There is an academic significance in interpreting the text mining results by developing the smart speaker user experience dimension. Based on the results of this study, we can suggest strategies for enhancing the user experience to smart speaker manufacturers.

• Journal of Korean Academy of Nursing
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• v.25 no.4
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• pp.709-728
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• 1995

The job related activities of sixty nine nurses, working in the emergency rooms of three university hospitals, were analyzed for six days according to preestablished checklist of nursing activities ; the frequency of these activities and the amount of time spent in each specific nursing activity. The established checklist was monitored every five minutes for the duration of the duty autu, thus producing 414 items of data. The data were not gathered on consecutive days but over the period of one month from May 6, 1994 to June 5, 1994. The following conclusions are derived from analysis of the data : 1. Twelve categories of nursing activities were obtained : The primary activity was communication related to the patient and all information pertaining to the patient. Other activities included maintaining the patient's record, observation and assessment of the patient, cooperation with other medical personnel, management of equipment and drugs, procedure and treatment, specimen collection, consultation and education for the patient, including drug management and personal hygiene and any other relevant education to the patient's condition. 2. The average frequency of categorized nursing activity can be classified as follows : communication related to patient was the highest at 17.6 times. The next was maintaining the patient's record at 17.3 times. The observation and assessment occurred 16.9 times. Consultation and education for patients and family, 8 times, medication, 5.7 times, and procedures and treatments, 6 times. 3. The average time required for each activity was as follows : 230.1 minutes (or maintaining the patient's record, 204.9 minutes for communication related to the patient, 199.2 minutes for observation and assessment, 71.2 minutes for medication, 66 minutes for consultation and education of the patient and family, and 51.8 minutes for procedures and treatment. 4. The most demanding nursing activity in the emergency room for the nurse was answering questions from the patient's family, maintaining communication between the medical staff, maintaining and reviewing the patient's charts, writing prescriptions and monitoring 1. V. infusion rates. 5. The most time consuming nursing activities for the emergency room nurse include maintaining and following the patient's charts, communication between the medical staff, answering questions from the patient's family, observation of the patient and relaying all of the appropriate patient information to the incoming nurses during a shift change. 6. The F-test was administered to measure the required time for the categorized nursing activities according to day, evening, and night-shift nurses. There were significant differences (p<.05) in specimen collection, observation and assessment, cooperation between medical staffs, personal hygiene, communication related to patient, education and re-search. Posterior multiple comparison test showed that specimen collection, cooperation between medical staffs and personal hygiene were mostly done by the evening-shift nurses. Also most observations and assessments were done by the night-shift nurses. Education and communication to patients were done by day-shift nurses. Thus there were significant difference between shifts for the main nursing activities. So there should considev a reallocation of the duty of nurses on each shift. 7. The F-test also indicated that there wes a similarity in time duration for procedures and treatments and for cooperation between medical staff and nurses in all three hospitals. However, the remaining categories of nursing activities also showed a significant difference between the three hospitals. This indicated that there were differences in each emergency room that influence time for each categorized nursing activities and this should be given more consideration. Recommendations : 1. A seasonal difference should be considered in the activities of nurses in the emergency room and a comparative analysis should be carried out to deter-mine seasonal differentiation. 2. A study on more objectively measurable nursing activities should be administered as well as one determining the subjective responds towards nursing activities in the emergency room.

• Journal of Korean Physical Therapy Science
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• v.9 no.1
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• pp.69-80
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• 2002

The objective of research provides the physical therapy of good quality to the patients to search for the problem pant against a physical therapy accident and it simultaneously respects physical therapy company law, the possibility of preparing a system defensive ability in order to be. The data were collected from 2000 October 1 to December 30th, and analyzed by a frequency and a percentage, oneway ANOVA, Scheffe method, $x^2$ official approvals. Conclusion (1) the accident where the patient falls from inside the treatment 'room is many and occasionally' 29.3% (63 people) with was many most. (2) Because of a mistake by a part-time therapist in holiday or a colleague therapist to do, the fracture or bum accident happens 12.5% (27 people), by a assist nurse due to more showed 12.1% (26 people) experience degree in the patient. (3) From physical therapy process breakdown of the medical treatment machinery and tools or it is in malfunction to do and the experience which has a failure to physical therapy is one enemy 68.1% (147 people) was in item. Also it treats and the patient or in the protector it sends an explanation in advance not to be, the experience which it enforces 50% (108 people), of service hour treatment equipment the medical treatment directives broad way of the doctor is accurate in insufficiency and does not enforce the experience is 45.4% (98 people), the patient whom I am treating Hot Pack (electricity has pack inclusion) with to do, the art dealer (over at 1 buffoonery) the experience which it puts on 27.1% (58 people), The patient whom I am treating is the electrotherapy flag (electricity has pack exclusion) with to do, the art dealer (1 degree art dealer over) the experience which it puts on 16.3% (35 people), the experience boat song the patient against a fracture from physical therapy process 9 person (4.2%) was visible an experience degree. (4) With hospital infection to do, from the patient the experience and the therapist which receive a problem proposal were caused by with hospital infection and the answer back regarding the experience which tries to receive a treatment appeared 6% (13 people), 42% (9 people) with each. (5) It listened to the treatment hour patient or the appeal of the protector and especially it does not appear to be being important it was not and and the management which is special it did not take, also the experience where the condition of the patient is deteriorated after that was 10.3% (22 people). (6) The condition or state of the patient does not agree with the medical treatment instruction of the doctor not to be, amendment one experience was 67.5% (145 people). (7) The experience degree of the physical therapy accident which relates with physical therapy recording and a secret maintenance 59.7% (129 people) 'is many and occasionally it is,' it showed an answer back and e it showed a most high accident experience degree. (8) The business overweight of physical therapy company 43.3% (93 people) with was high most from recognition degree of the physical therapy company against a physical therapy accident. (9) Against the question which asks the responsibility subject matter of physical therapy accident the whole answer back volition 42.8% did it is a joint responsibility where the multi person relates. (10) The accident occurs most the hour unit which plentifully in the afternoon 64.3% (133 people) with appeared from the recognition degree against the frequency hour unit of physical therapy accident. (11) Physical therapy it bought and after the various medical treatment accident which relates against the attitude of the, patient side against the physical therapy company it understood and trillion it was many most with 33.3% to be finished. (12) After physical therapy accident the management against the physical therapy company of the hospital authorities concerned above all do not experience 70.6% (149 people), from event right and wrong submission 22.7% (48 people), warning management 2.8% (6 people), the event report requirement and money compensation were each 0.5% (1 person). (13) As the prevention book of physical therapy accident most it is important, the fact which it thinks that, the persons supplement of physical therapy company 58.8% (127 people) with was high most. (14) It related with a physical therapy accident and the medical law 43.5%, civil law 23.9%, was visible the answer back ratio of the criminal law 13.7% from the degree which probably is a relation law.

• Journal of Science Education
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• v.45 no.3
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• pp.292-303
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• 2021

This study identifies the terms frequently used together with energy in online science news articles and topics of the news reports to find out how the term energy is used in everyday life and to draw implications for science curriculum and instruction about energy. A total of 2,171 online news articles in science category published by 11 major newspaper companies in Korea for one year from March 1, 2018 were selected by using energy as a search term. As a result of natural language processing, a total of 51,224 sentences consisting of 507,901 words were compiled for analysis. Using the R program, term frequency analysis, semantic network analysis, and structural topic modeling were performed. The results show that the terms with exceptionally high frequencies were technology, research, and development, which reflected the characteristics of news articles that report new findings. On the other hand, terms used more than once per two articles were industry-related terms (industry, product, system, production, market) and terms that were sufficiently expected as energy-related terms such as 'electricity' and 'environment.' Meanwhile, 'sun', 'heat', 'temperature', and 'power generation', which are frequently used in energy-related science classes, also appeared as terms belonging to the highest frequency. From a network analysis, two clusters were found including terms related to industry and technology and terms related to basic science and research. From the analysis of terms paired with energy, it was also found that terms related to the use of energy such as 'energy efficiency,' 'energy saving,' and 'energy consumption' were the most frequently used. Out of 16 topics found, four contexts of energy were drawn including 'high-tech industry,' 'industry,' 'basic science,' and 'environment and health.' The results suggest that the introduction of the concept of energy degradation as a starting point for energy classes can be effective. It also shows the need to introduce high-tech industries or the context of environment and health into energy learning.