• Journal of the Korea Society of Computer and Information
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• v.19 no.1
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• pp.141-148
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• 2014

As the quality of the medical treatment service provided by large hospitals grow, the number of patients utilizing the facilities is increasing dramatically. Various studies such as order communication system and treatment guidance system are under their process in order to shorten the waiting time for patients. However, the existing methods assign the treatments in successive order without recognizing the situation of each treatment, therefore increasing a patient's standby time at a hospital. This paper proposes a context-aware treatment guidance system, which recognizes the previously undermined estimated waiting time of each treatment for a patient and recommends a treatment with shorter estimated sojourn time first. This context-aware treatment guidance system provides detailed information of treatment services based on the recommended order of treatments to a patient's smartphone. By utilizing the context-aware treatment guidance system introduced in this paper, patients can reduce their standby time at hospitals to the minimum while hospitals can efficiently service more patients at the same amount of time. The proposed context-aware treatment guidance system proves to be outstanding in treatment order recommendation through comparisons to previously used methods.

• Applied Biological Chemistry
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• v.27
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• pp.18-28
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• 1984

In order to improve feed values of Korean agricultural by-products, various treatments including physical, chemical, physicochemical and fermentation were suggested in th is review article. Physical treatments such as chopping, grinding and pelleting reduce partiole size of agricultural by-products, and increase passage rate from the rumen, thus may increase voluntary feed intake and weight gain. Digestibility and voluntary feed intake of straw, rice hull and sawdust, also, may be increased by chemical treatment using sodium hydroxide or ammonia. Especially, because nitrogen content of by-products increase and toxic problem is not posed by ammonia treatment, it's practical usage is recommended in Korea. Silage or fermentation treatment using principles of microbial fermentation may improve palatability of low quality by-products. As mentioned above, it is concluded that various treatments suggested are desirable and improve feed value but may raise several problems. Unfortunately, because cost for installation and products is great and processing work is complicate, farmers are not using well these processing methods until now. Therefore, in order to increase the practical usage at farm level, it is thought that many research works be achieved for efficient process which have simple operation and low installation cost.

• International Journal of Advanced Culture Technology
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• v.8 no.4
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• pp.167-176
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• 2020

Recommendation Systems is the top requirements for many people and researchers for the need required by them with the proper suggestion with their personal indeed, sorting and suggesting doctor to the patient. Most of the rating prediction in recommendation systems are based on patient's feedback with their information regarding their treatment. Patient's preferences will be based on the historical behaviour of similar patients. The similarity between the patients is generally measured by the patient's feedback with the information about the doctor with the treatment methods with their success rate. This paper presents a new method of predicting Top Ranked Doctor's in recommendation systems. The proposed Recommendation system starts by identifying the similar doctor based on the patients' health requirements and cluster them using K-Means Efficient Clustering. Our proposed K-Means Clustering with Content Based Doctor Recommendation for Cancer (KMC-CBD) helps users to find an optimal solution. The core component of KMC-CBD Recommended system suggests patients with top recommended doctors similar to the other patients who already treated with that doctor and supports the choice of the doctor and the hospital for the patient requirements and their health condition. The recommendation System first computes K-Means Clustering is an unsupervised learning among Doctors according to their profile and list the Doctors according to their Medical profile. Then the Content based doctor recommendation System generates a Top rated list of doctors for the given patient profile by exploiting health data shared by the crowd internet community. Patients can find the most similar patients, so that they can analyze how they are treated for the similar diseases, and they can send and receive suggestions to solve their health issues. In order to the improve Recommendation system efficiency, the patient can express their health information by a natural-language sentence. The Recommendation system analyze and identifies the most relevant medical area for that specific case and uses this information for the recommendation task. Provided by users as well as the recommended system to suggest the right doctors for a specific health problem. Our proposed system is implemented in Python with necessary functions and dataset.

• Journal of Korean Medicine for Obesity Research
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• v.13 no.2
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• pp.58-65
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• 2013

Objectives: The objective of this study was to analyse the methods being used to control food intake and physical activity in RCTs of human obesity. Methods: A total of 21 randomized controlled trials (RCTs) were investigated. Nine of which were domestic studies from "http://oasis.kiom.re.kr" and the other of which were foreign studies from systematic reviews of RCTs on herbal medicine for treatment of human obesity. Results: According to domestic studies, "low calorie diet" were recommended in five cases of the domestic studies, "maintain current dietary habit" were recommended in two and no information on diet was two. Considering the seven cases where the information on diet was available, patients' food intake were checked at every visit in six cases. Only two cases among the six had been dropped owing to the violation of dietary habit by patients. Exercises were prohibited in two cases, "maintain current level of phisical activity" were recommended in three cases and, from the rest, no information was available. The level of physical activity were not strictly controlled by any means hence no drop out. According to foreign studies, "low calorie diet" were recommended in two cases, "very low calorie diet (less than 700 kcal/day)" in one case, "maintain current dietary habit" in two cases, "do not eat fat" in two cases and no information was available in the rest five cases. Exercises which concerns spending about 300 kcal/day was recommended in one case, "moderate exercise" were recommended in three cases, "maintain current level of physical activity" were recommended in three cases and no information available in the rest five cases. Conclusions: In order to improve the accuracy of RCT, for the dietary side, researchers should record patient food intake at every visit by means of 24-hour dietary recall methods. This can be supplemented by multiple choice survey that are designed to help patients to diagnose themselves more accurately leading to less bias. For the exercise side, it is highly recommended to confine the exercises to walking only so as to quantify the amount of physical activity more easily by using pedometer.

• Korean Journal of Health Education and Promotion
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• v.2 no.1
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• pp.107-112
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• 1984

In order to develop the school dental health care in rural area, the author collected data about the population of all 6-17 year students living in Young dong-gun county, and Surveyed their dental health cares during one year of 1982. From the collected data, several dental health indices such as percentage of students of all population, percentage of students who visited dentists once or more during one year, average annual dentist visit and average annual dental treatment case were calculated and discussed. The obtained results were as follows; 1. The percentage of students of all population in Young dong-gun county was 29.65%. 2. The percentage of students who visited dentists once or more during one year was 4.67%. 3. The average annual dentist visit per student was 0.11. 4. The average annual dental treatment case per student was 0.16. 5. The oral examination case was 0.05, intraoral radiograph 0.01, oral prophylaxis 0.00, filling of dental carious lesion 0.02, pulp treatment 0.02, extraction of teeth 0.04, and others 0.02 annually in the average. In comparison with detectable need for dental treatment cases, oral prophylaxis was not supplied at all, filling of dental carious lesion was supplied about 1% and extraction of teeth was supplied about 10% of detectable need. 6. It was recommended that school incremental dental care project should be developed for school dental health programme in order to supply all of the detectable need for dental treatment.

• Journal of Soil and Groundwater Environment
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• v.15 no.1
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• pp.19-28
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• 2010

Considering six screen matrix to select an optimum remediation method for the Kunsan military base contaminated with petroleum oil, the following order was obtained: landfarming > biopile > soil washing > thermal desorption = incineration. When the landfarming method was applied for the remediation of 2,250 $m^3$ soil contaminated with petroleum oil ranging from 500 to 2,404 mg/kg as TPH, contamination level decreased below target concentration 450 mg/kg after 20~42 days depending on the initial contamination. From the evaluation of case studies of landfarming, it is suggested that ratty-truss or single-arch structure is suitable in the landfarming plant for the treatment of large-scale contaminated soil requiring long period of remediation. But, vinyl-house structure is suitable in the landfarming plant for the treatment of small-scale contaminated soil requiring short period of remediation. Therefore vinyl-house structure is recommended in the remediation of contaminated soil less than 5,000 $m^3$ requiring within 1 year of remediation period but ratty-truss or single-arch structure is recommended for the remediation of contaminated soil more than 5,000 $m^3$.

• YAKHAK HOEJI
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• v.57 no.2
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• pp.101-109
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• 2013

Depressive disorders are the most common psychiatric problem in the elderly. Most depression treatment guidelines emphasize treatment with antidepressant medication and recommend that benzodiazepine use be minimized for limited period, particularly to elderly patients. In order to evaluate appropriate use of antidepressants and benzodiazepine, retrospective review of prescriptions was performed. The study population are older than 65 years who had been newly diagnosed with major depressive disorder in specialty mental health at a community general hospital from January $1^{st}$, 2007 to October $31^{th}$, 2012 (N=373). Initial antidepressant accounted for 89.5% with SSRI, and escitalopram accounted for 60.9% of SSRI group. 79% or more of the patients were prescribed the recommended dosage. The maintenance rate for 4 weeks of initial antidepressant was 48% and 6 weeks was 39%. Treatment-discontinuation rate was 68% at 3 month. Alprazolam (short acting benzodiazepine) was prescribed the most, followed by clonazepam (long acting benzodiazepine) and then diazepam. 55% of patients received a duplicated prescription for short acting plus long acting benzodiazepine. 61% of patients used long acting benzodiazepines. Prescribed dosages of benzodiazepines were commonly within a recommended range, while no one was prescribed a appropriate period (up to 2 weeks) except for the early discontinued patients. Appropriate use of zolpidem was only 16.2%. The depressed elderly treated in specialty mental health mostly received long-term treatment with benzodiazepines in combination with antidepressants, guideline recommendations was not followed. Multidisciplinary interventions like audit and feedback of benzodiazepine use are needed and education for the elderly is needed to properly maintain antidepressant treatment.

• Journal of environmental and Sanitary engineering
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• v.23 no.4
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• pp.55-64
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• 2008

In this study, the management and improvement of public small-scale sewage treatment facilities was investigated. In order to improve the effective management of the operation of small-scale sewage treatment facilities, treatment methods and the problems associated with sewage treatment were carefully addressed based on the data and literature. The investigation results showed that sewer pipes in rural areas should be repaired to prevent sewage from leaking and small-scale operations should be required to have effective management for pollutant loads less than 50%. Also, new methods should be developed for low concentrations of sewage. A law associated with FRP treatment facilities should be established and local governments need to supervise these operations to avoid insufficient and faulty construction. It is recommended that new facilities are built with advanced treatment techniques when the old facility can not comply with nitrogen and phosphorous discharge limits. Moreover, the study shows that nutrient and coliform treatment efficiency improves when abandoned facilities are renovated with the installation of nitrification/denitrification and disinfection processes or another advanced process.

• 보존과학연구
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• s.30
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• pp.21-29
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• 2009

This study shows the research of causes of deterioration of the amber from foreign cases. It also presents the conservation treatment as well as tests to examine the effect of the organic solvents on the amber in order to find reversible and safe reinforcing agent which will prevent further damage of the artefact. The result showed that there was no noticeable change in the weight of the artefact as well as on the appearance of the surface when Mineral spirit(White spirit), which is aliphatic hydrocarbon group, and Xylene, aromatic hydrocarbons group was applied. Reinforcement and restoration was carried out using Paraloid(R) B67, which has a broad option for the solvent, in Xylene. Finally, it is recommended that the use of polar organic solvent in the conservation treatment of amber artefacts should be limited.

• Journal of Korea Multimedia Society
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• v.25 no.2
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• pp.345-352
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• 2022

Conducting AI-based fusion business due to the increment of ICT fusion medical device has been expanded. In addition, AI-based medical devices help change existing medical system on treatment into the paradigm of customized treatment such as preliminary diagnosis and prevention. It will be generally promoted to the change of medical device industry. Although the current demand forecasting of medical biotechnology commercialization is based on the method of Delphi and AHP, there is a problem that it is difficult to have a generalization due to fluctuation results according to a pool of participants. Therefore, the purpose of the paper is to predict demand forecasting for identifying promising technology based on building up big data in medical biotechnology. The development method is to employ candidate technologies of keywords extracted from SCOPUS and to use word2vec for drawing analysis indicator, technological distance similarity, and recommended technological similarity of top-level items in order to achieve a reasonable result. In addition, the method builds up academic big data for 5 years (2016-2020) in order to commercialize technology excavation on demand perspective. Lastly, the paper employs global data studies in order to develop domestic and international demand for technology excavation in the medical biotechnology field.