• The Journal of Internal Korean Medicine
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• v.45 no.4
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• pp.615-634
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• 2024

Objectives: This study summarizes the current trends and results in clinical studies on herbal medicine treatments after thyroidectomy. Methods: Studies published between 2019 and 2024 were searched for on the China National Knowledge Infrastructure (CNKI), PubMed, and Research Information Sharing Service (RISS). The studies were analyzed according to year, study design, characteristics of the patients, and traditional Chinese medicine (TCM) intervention. A meta-analysis was conducted and classified according to the outcome measurements, such as the total effective rate (TER), thyroid stimulating hormone (TSH), free T4 (FT4), self-rating depression scale (SDS), CD3+, CD4+, and CD8+. CD8+. Results: A total of 18 randomized controlled trials (RCTs) and 5 non-randomized controlled trials were reviewed. The most common herbal prescriptions were decoctions made from Yangyin Sanjie (Yangeumsangyeol-tang), Yiqi Sanjie (Ikgisangyeol-tang), Yiqi Yangyin Sanjie (Ikgiyangeumsangyeol-tang), Yiqi Yangyin (Ikgiyangeum-tang), and Huiyan Zhuyu (Hoeyeomchugeo-tang). The most frequently used herbs were Prunellae Spica, Scrophulariae Radix, and Astragali Radix. The meta-analysis found that the group using both herbal and Western medicine was benefited more than the group using Western medicine alone (RR: 1.28, 95% CI: 1.20-1.37, P<0.00001). The experimental group had higher TSH, CD3+, and CD4+ levels, while FT4, SDS, and CD8++ were lower. However, due to high study heterogeneity, the results were not statistically significant. Conclusion: Complications after thyroidectomy include hypothyroidism, hypoparathyroidism, and psychological aftereffects. Herbal and conventional treatments showed potential in improving hormone levels, immune function, and depression, but statistical significance was limited due to study variability. These results should be interpreted cautiously given the risk of bias in the trials.

• Journal of Intelligence and Information Systems
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• v.20 no.1
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• pp.49-65
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• 2014

Word of Mouth (WOM) is a behavior used by consumers to transfer or communicate their product or service experience to other consumers. Due to the popularity of social media such as Facebook, Twitter, blogs, and online communities, electronic WOM (e-WOM) has become important to the success of products or services. As a result, most enterprises pay close attention to e-WOM for their products or services. This is especially important for movies, as these are experiential products. This paper aims to identify the network factors of an online movie community that impact box office revenue using social network analysis. In addition to traditional WOM factors (volume and valence of WOM), network centrality measures of the online community are included as influential factors in box office revenue. Based on previous research results, we develop five hypotheses on the relationships between potential influential factors (WOM volume, WOM valence, degree centrality, betweenness centrality, closeness centrality) and box office revenue. The first hypothesis is that the accumulated volume of WOM in online product communities is positively related to the total revenue of movies. The second hypothesis is that the accumulated valence of WOM in online product communities is positively related to the total revenue of movies. The third hypothesis is that the average of degree centralities of reviewers in online product communities is positively related to the total revenue of movies. The fourth hypothesis is that the average of betweenness centralities of reviewers in online product communities is positively related to the total revenue of movies. The fifth hypothesis is that the average of betweenness centralities of reviewers in online product communities is positively related to the total revenue of movies. To verify our research model, we collect movie review data from the Internet Movie Database (IMDb), which is a representative online movie community, and movie revenue data from the Box-Office-Mojo website. The movies in this analysis include weekly top-10 movies from September 1, 2012, to September 1, 2013, with in total. We collect movie metadata such as screening periods and user ratings; and community data in IMDb including reviewer identification, review content, review times, responder identification, reply content, reply times, and reply relationships. For the same period, the revenue data from Box-Office-Mojo is collected on a weekly basis. Movie community networks are constructed based on reply relationships between reviewers. Using a social network analysis tool, NodeXL, we calculate the averages of three centralities including degree, betweenness, and closeness centrality for each movie. Correlation analysis of focal variables and the dependent variable (final revenue) shows that three centrality measures are highly correlated, prompting us to perform multiple regressions separately with each centrality measure. Consistent with previous research results, our regression analysis results show that the volume and valence of WOM are positively related to the final box office revenue of movies. Moreover, the averages of betweenness centralities from initial community networks impact the final movie revenues. However, both of the averages of degree centralities and closeness centralities do not influence final movie performance. Based on the regression results, three hypotheses, 1, 2, and 4, are accepted, and two hypotheses, 3 and 5, are rejected. This study tries to link the network structure of e-WOM on online product communities with the product's performance. Based on the analysis of a real online movie community, the results show that online community network structures can work as a predictor of movie performance. The results show that the betweenness centralities of the reviewer community are critical for the prediction of movie performance. However, degree centralities and closeness centralities do not influence movie performance. As future research topics, similar analyses are required for other product categories such as electronic goods and online content to generalize the study results.

• Journal of Intelligence and Information Systems
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• v.26 no.2
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• pp.57-78
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• 2020

With the development of the Internet, consumers have had an opportunity to check product information easily through E-Commerce. Product reviews used in the process of purchasing goods are based on user experience, allowing consumers to engage as producers of information as well as refer to information. This can be a way to increase the efficiency of purchasing decisions from the perspective of consumers, and from the seller's point of view, it can help develop products and strengthen their competitiveness. However, it takes a lot of time and effort to understand the overall assessment and assessment dimensions of the products that I think are important in reading the vast amount of product reviews offered by E-Commerce for the products consumers want to compare. This is because product reviews are unstructured information and it is difficult to read sentiment of reviews and assessment dimension immediately. For example, consumers who want to purchase a laptop would like to check the assessment of comparative products at each dimension, such as performance, weight, delivery, speed, and design. Therefore, in this paper, we would like to propose a method to automatically generate multi-dimensional product assessment scores in product reviews that we would like to compare. The methods presented in this study consist largely of two phases. One is the pre-preparation phase and the second is the individual product scoring phase. In the pre-preparation phase, a dimensioned classification model and a sentiment analysis model are created based on a review of the large category product group review. By combining word embedding and association analysis, the dimensioned classification model complements the limitation that word embedding methods for finding relevance between dimensions and words in existing studies see only the distance of words in sentences. Sentiment analysis models generate CNN models by organizing learning data tagged with positives and negatives on a phrase unit for accurate polarity detection. Through this, the individual product scoring phase applies the models pre-prepared for the phrase unit review. Multi-dimensional assessment scores can be obtained by aggregating them by assessment dimension according to the proportion of reviews organized like this, which are grouped among those that are judged to describe a specific dimension for each phrase. In the experiment of this paper, approximately 260,000 reviews of the large category product group are collected to form a dimensioned classification model and a sentiment analysis model. In addition, reviews of the laptops of S and L companies selling at E-Commerce are collected and used as experimental data, respectively. The dimensioned classification model classified individual product reviews broken down into phrases into six assessment dimensions and combined the existing word embedding method with an association analysis indicating frequency between words and dimensions. As a result of combining word embedding and association analysis, the accuracy of the model increased by 13.7%. The sentiment analysis models could be seen to closely analyze the assessment when they were taught in a phrase unit rather than in sentences. As a result, it was confirmed that the accuracy was 29.4% higher than the sentence-based model. Through this study, both sellers and consumers can expect efficient decision making in purchasing and product development, given that they can make multi-dimensional comparisons of products. In addition, text reviews, which are unstructured data, were transformed into objective values such as frequency and morpheme, and they were analysed together using word embedding and association analysis to improve the objectivity aspects of more precise multi-dimensional analysis and research. This will be an attractive analysis model in terms of not only enabling more effective service deployment during the evolving E-Commerce market and fierce competition, but also satisfying both customers.

• The Korean Society of Law and Medicine
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• v.18 no.1
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• pp.237-264
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• 2017

With the onset of the Human Genome Project, social concerns about 'genetic information discrimination' have been raised, but the problem has not yet been highlighted in Korea. However, non-medical institutions' genetic testing which is related to disease prevention could be partially allowed under the revised "Bioethics and Safety Act" from June 30, 2016. In the case of one domestic insurance company, DTC genetic testing was provided for the new customer of cancer insurance as a complimentary service, which made the social changes related to the recognition of the genetic testing. At a time when precision medicine is becoming a new standard for medical care, discipline on genetic information discrimination has become a problem that can not be delayed anymore. Article 46 and 67 of the Bioethics Act stipulate the prohibition of discrimination on grounds of genetic information and penalties for its violation. However, these broad principles alone can not solve the problems in specific genetic information utilization areas such as insurance and employment. The United States, Canada, the United Kingdom, and Germany have different regulations that prohibit genetic information based discrimination. In the United States, Genetic Information Non-Discrimination Act takes a form that adds to the existing law about the prohibition of genetic information discrimination. In addition, the range of genetic information includes the results of genetic tests of individuals and their families, including "family history". Canada has recently enacted legislation in 2017, expanding coverage to general transactions of goods or services in addition to insurance and employment. The United Kingdom deals only with 'predictive genetic testing results of individuals'. In the case of insurance, the UK government and Association of British Insurers (ABI) agree to abide by a policy framework ('Concordat') for cooperation that provides that insurers' use of genetic information is transparent, fair and subject to regular reviews; and remain committed to the voluntary Moratorium on insurers' use of predictive genetic test results until 1 November 2019, and a review of the Concordat in 2016. In the case of employment, The ICO's 'Employment Practices Code (2011)' is used as a guideline. In Germany, Human Genetic Examination Act(Gesetz ${\ddot{u}}ber$ genetische Untersuchungen bei Menschen) stipulates a principle ban on the demand for genetic testing and the submission of results in employment and insurance. The evaluation of the effectiveness of regulatory framework, as well as the form and scope of the discipline is different from country to country. In light of this, it would be desirable for the issue of genetic information discrimination in Korea to be addressed based on the review of related regulations, the participation of experts, and the cooperation of stakeholders.

• The Korean Society of Law and Medicine
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• v.17 no.1
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• pp.107-135
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• 2016

Medical tour can be said to be a new high added-value tour industry of 21st century. The development of varied and distinguished medical tour products by each country will further vitalize the medical tour industry. As the interest in such medical tour increases, it is necessary to analyze the demand and interests of tourists accurately and prepare medical tour products to be provided in order to develop and promote medical tour products. The government considers the medical tour industry as an industry with high expected effects in job creation through promotion of experts in global healthcare industry and national economy development through high added-value creation, and has expanded aid policies in medical tour field with improvement of medical tour immigration system, one-stop service system for medical tourists, and medical tour labor force promotion system. Nevertheless, there are disputes between foreign patients and medical tour inviting businesses, along with medical accident disputes between foreign patients and medical staff and disputes with those working in the tourism industry. This article reviews the types of disputes occurring around the inviting businesses related to medical tours and tried to review the resolutions. Through this, it was found that medical tour inviting businesses have the responsibility to connect the mediated benefits and risks and also the responsibility to process the tasks. Thus, in case dispute occurs due to passive actions from establishing agency agreement to active mediation results, it is difficult to escape the liabilities. Also, in a medical tour agency contract, the inviting business must be aware that it bears the responsibility to explain and advise the details on benefits and risks to foreign patients. The "Guide to arbitration system for resolution of medical disputes with foreign patients" by Korea Health Industry Development Institute Act presents a method to resolve disputes according to the [laws on medical accident damage relief and medical dispute arbitration] in case a dispute due to medical accidents occurs to foreign patients when the foreign patients prepare diagnosis agreement, Whether such method is sufficient to protect foreign patients, however, is thought to require discussions from more diverse perspectives. In order to vitalize medical tourism, the development of diverse products is also important, but the countermeasures against related disputes should also be prepared. Such is expected to contribute to a greater advancement based on trust of foreign medical tourists alongside excellent medical technologies.

• Journal of Dairy Science and Biotechnology
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• v.34 no.1
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• pp.21-35
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• 2016

Recently, there has been a rapid increase in the sale and purchase of an array of organic products. In particular, organic milk has grown in popularity. This growth could lead to expensive, premium retail prices for various organic cow's milk products. In fact, most consumers believe that (1) dairy farming to produce organic milk is beneficial for human health and (2) organic milk products are made without the use of various antibiotics, synthetic chemicals, genetic modification, extra hormones, and so on. Several factors, including breed, diet, and stage of lactation, are known to influence the composition of milk. Therefore, this review (1) presents a research outline to compare organic and conventional milk and (2) provides a summary of individual elements that affect the composition of milk.

• Management & Information Systems Review
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• v.30 no.4
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• pp.253-292
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• 2011

This study is significant of groping for the autonomous perspective of a medication system for the establishment of harmonious regional labor-management relationship and investigating a plan to minimize previously labor disputes through both analyzing mediation cases and finding out any core issue from the labor-management relationship, with matters experienced in the mediation field when I had served as a mediator. Specially, this study has also objectives to prevent previously any labor dispute through analyzing and minimizing the issue of the labor dispute by case and to establish harmonious labor-management relationship thereby. Further since it is necessary to understand the organization and roles of the regional labor relations commission in order to understand the concrete matters in respect of the labor dispute mediation, this study shall be to explore in detail the matters relating hereto and to acquire general knowledge of mediation through case analysis. Additionally, there is little studies exploring alternative research for the establishment of reasonable labor-management relationship with core issues referred a mediation to the labor relations commission through both the position heightening of the labor relations commission and the analysis of core issues until now. Thus, this study may provide a theoretical base for raising a technique to enhance negotiation skill through acquiring the previous training or full knowledge on the approaching manner to be taken by the labor and management in the collective bargaining or wage bargaining on the basis of items analyzed by core issue. The heightening perspectives to be acquired through the analysis of 50 or more mediation cases are as follows. First, it deems to be important what position each mediation party takes. Second, the information acquired by an investigator in the preliminary investigation before holding the mediation is very importantly utilized in the mediation. Third, the gumption of mediators in charge of the mediation is very helpful for the resolution of a case. Fourth, it shall be preceding to understand dispute issues. After reviewing fully the investigation report of an investigator, if separate review is required, it is tried to hold a separate meeting and then reduce the number of issues asserted by the labor & management and, if the number of such issues is reduced, the mediation may approach to be concluded. Fifth, it shall be kept in mind that any matter other than the scope of the law be based on not the judgement of mediator but the legal interpretation. Sixth, it is necessary for both labor and management parties to take a positive approach so as to make the healthy labor & management relationship anchored. Seventh, notwithstanding the mediators are part-time and take a service attitude, it shall be encouraged to abstain from slandering or inveighing against the mediators because the mediation is taken against oneself. Eighth, it is necessary to convert the management's recognition about a labor union. Ninth, it is necessary to not raise any issue on the matters, such as time-off system and multiple labor union, etc., which are legally enforced. Tenth, it is confirmed that the regional labor relations commission plays a bridge role of narrowing down the issue difference between the labor and management.

• The Journal of Korean society of community based occupational therapy
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• v.7 no.1
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• pp.59-70
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• 2017

Objective : The purpose of this study was to examine the effect of virtual reality-based remote rehabilitation on stroke patients systematically and to look for its effect and how to apply it domestically. Methods : In order to search data, EMBASE and CINAHL database were used. Relevant research used those terms of virtual reality, telerehabilitation, and stroke. A total of 10 studies satisfying the selection criteria was analyzed according to their qualitative level, general characteristics, and PICO method. Results : Based on the selected 10 studies, virtual reality-based telerehabilitation system was applied. Sensory and motor feedback was provided with inputting visual and auditory senses through a video in the home environment, and it stimulated changes in the client's nervous system. Tools to measure the results were upper extremity function, balance and gait, activities of daily living, etc. Those virtual reality-based telerehabilitation method had an effect on upper extremity function and ability of sense of balance in all studies, and on the activities of daily living partially. Telerehabilitation service to make up environmental specificity improved satisfaction of client. That meaned the effect of the intervention to maintain the function. Conclusion : The virtual reality-based telerehabilitation system was applied to upper extremity function, sense of balance, and activities of daily living largely, and it showed that it helped to improve functions through intervention, supervision, and training of therapist in the home environment as well. This study suggests the basis and possibility of clinical application on virtual-reality based telerehabilitation. Additional research is needed to diverse virtual reality intervention methods and the effect of telerehabilitation in the future.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.42 no.6
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• pp.853-860
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• 2022

The purpose of this study is to suggest an improvement plan for the calculation method of the engineer standard wage rate (ESWR) and to compute a reasonable ESWR. To this end, an adequacy review of theESWR calculation criteria was conducted along with an extensive engineering industry survey. The survey results were analyzed using an effective response sample of 748 companies out of 1,000 survey samples extracted by stratifying the 5,879 survey population. The main results were as follows. ①When calculating the engineering service fee, the prime contractor's engineer wage is suitable for the ESWR. The ESWR can be estimated by the formula 'average wage÷[1-proportion of subcontract orders×(1-subcontract rate)].' ② The field survey showed that the number of monthly working days was 20.35-20.54 days at 99 % confidence interval, which was significantly different from the current standard (22 days). In addition, as a result of a legal review of the ESWR criteria, it was found that the number of working days should be calculated in accordance with the Labor Standards Act after 2022. ③ Applying government guidelines, the time difference between the wage survey and the ESWR application can be corrected by the past ESWR increase rate for a specific period. ④ Using modeling based on the analysis above, the current ESWR was 13.5-14.5 % lower than the appropriate level. A lower ESWR was driven by the non-reflection of subcontract structure (4.1 %), overestimation of monthly work days (6.8-7.8 %), and application of past wage (2.6 %). The proposed model is expected to be widely used in policy making, as it can provide a useful framework for calculating the standard wage rate in similar industries as well as calculating appropriate engineering fees.

• Journal of Christian Education in Korea
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• v.72
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• pp.245-271
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• 2022

The purpose of this study is to develop a nursing clinical practice education model that applies case-based learning and co-teaching to nursing students, and to secure the validity of the developed model. To verify the validity of the nursing clinical practice education model, it was applied to the subject of 'Health Response and Nursing VI (Perception/ Cognition) Practice' in the 2nd semester of 2021 at J University in Jeonju, and the instructor's response to the model was evaluated. Surveys and focus group interviews were conducted on confidence in clinical practice and teaching and learning models. After deriving the case-based learning stage and co-teaching elements through a review of precedent literature and case studies, an initial model was devised after expert review, and the devised model was reviewed for internal validity by nursing education experts, and then modified and supplemented. As a result of the learner response evaluation conducted after applying the model to the clinical practice subject for external validation verification, the confidence in clinical performance was 4.22 points and the satisfaction with the teaching-learning model was 4.68 points. Summarizing the results of the focus group interview, the importance of prior learning and the learning of selected cases based on actual cases, learning terminology and professional knowledge, eliminated fear of the practice field, felt familiar, and learned various cases. He said that he was able to think critically through the time to organize the knowledge learned in the practice field. In addition, through co-teaching, it was found that field leaders and advisors taught the theoretical and practical aspects at the same time through examples, thereby experiencing practical education closer to practice. It is expected that the nursing clinical practice education model developed through this study, applying case-based learning and co-teaching, will be an effective teaching and learning model that can reduce the gap between theory and practice and improve the clinical performance of nursing students.