• Korean Journal of Clinical Pharmacy
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• v.30 no.4
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• pp.243-249
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• 2020

Background: Despite the increased use of direct-acting oral anticoagulants, warfarin is still recommended as first-line therapy in patients with mechanical valves or moderate to severe mitral stenosis. Anticoagulation management services (AMSs) are warranted for patients receiving warfarin therapy due to the complexity of warfarin dosing and large interpatient variability. To overcome limited health care resources, we developed a messenger app-based chatbot that provides information to patients taking warfarin. Methods: We developed "WafarinTalk" as an add-on to the open-source messenger app KakaoTalk. We developed the prototype chatbot after building a database containing seven categories: 1) dosage and indications, 2) drug-drug interactions, 3) drug-food interactions, 4) drug-diet supplement interactions, 5) monitoring, 6) adverse events, and 7) precautions. We then surveyed 30 pharmacists and 10 patients on chatbot reliability and on participant satisfaction. Results: We found that 80% of the pharmacists agreed on the consistency of chatbot responses and 44% agreed on the appropriateness of chatbot. Furthermore, 47% of pharmacists said that they were willing to recommend the chatbot to patients. Of the seven categories, information on drug-food interaction was the most useful; 90% of patients said they were satisfied with the chatbot and 100% of patients said they were willing to use it when they were unable to see a pharmacist. We updated the prototype chatbot with feedback from the survey. Conclusion: This study showed that warfarin-related information could be provided to patients through a messenger application-based chatbot.

• Child Health Nursing Research
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• v.8 no.2
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• pp.183-194
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• 2002

This study was conducted to obtain a basic information related to a more systematic safety education and measures against children's accidents by a descriptive survey with regard to accidents actually experienced by elementary schoolers, their perceived safety education activities and school facilities to their safety lives. The data was collected among 1,654 pupils, belonging to the 5th and 6th grades in Pusan from Nov. 20 to Dec. 1, 2000. The data was analyzed using SPSSWIN(7.5). The results were as follows ; 1. According to the perception by elementary schoolers, they received safety life instruction at school in most cases from teachers in charge of their own class (41.0％). Such safety education was provided often during formal classes(24.4％). Traffic guidance was given by parents, highest in frequency(67.3％). 2. Matters as most often treated during safety life instruction were safety knowledge or dangerous things(37.5％). A majority of notices of school safety instruction were presented sometimes(48.4％). Source of knowledge about safety lives included teacher (35.3％), parents(32.9％), TV and newspaper (29.9％). As a source of knowledge of emergency treatment, school nurses were accounted for 41.3％ that was highest. 3.Among the 1,654 students, 91.8％ experienced at least more than one case of safety accident. The most frequent type and cause of safety accident were wound(33.7％). and self-carelessness(38.4％) respectively. In most cases, the subject experienced such accident during a break time(32.2％) and at a playgrounds. Part of body as most often damaged by accidents were arms and legs, 25.4％ higher than any other sides problem solving measures against the accident were taken by school nurse in most cases, 44.8％ in percentage point. 4. Those students' perceived safety management of school facilities showed that they considered classroom facilities as most safe (61.6％), while playground facilities as least safe(42.8％). They also responded that the treatment of glass fragments or stones at playground is the most important item of safety management.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.6
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• pp.675-680
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• 2012

Wind energy is currently the fastest growing source of renewable energy used for electrical generation around the world. Wind farms are adding a significant amount of electrical generation capacity. The increase in the number of wind farms has led to the need for more effective operation and maintenance. CMS(Condition Monitoring System) can be used to aid plant operator in achieving these goals. Its aim is to provide operators with information regarding th e health of their machine, which in turn, can help them improve operation efficiency. In this work, wind turbine fault diagnostic algorithm which can diagnose the mass unbalance and aerodynamic asymmetry of the blades is proposed. Proposed diagnostic algorithm utilizes both FFT(Fast Feurier Transform) of the signal from accelerometers installed inside of nacelle and simple diagnostic logic. Furthermore, to verify the applicability of the proposed system, 3W small sized wind turbine system is tested and physical experiments are carried out.

• Culinary science and hospitality research
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• v.20 no.4
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• pp.183-192
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• 2014

The purpose of this study is to determine the possibility of using Codonopsis lanceolata leaves as natural health food source. To accomplish this purpose, the contents of general and antioxidative nutrients of Codonopsis lanceolata leaves were measured. The contents of carbohydrate, crude protein, crude lipid and ash were 65.09%, 18.02%, 1.34% and 9.72%. And the calories of Codonopsis lanceolata leaves were 288.36 Kcal. The protein contained total 16 different kinds of amino acids. The contents of essential and non-essential amino acids were 5,906.41 mg and 7,551.56 mg, respectively. K was the most mineral followed by Ca, P, and Mg, which means Codonopsis lanceolata leaves are alkali material. Total phenolic contents of Codonopsis lanceolata leaves were 1.87 mg/g, and total flavonoids contents were estimated as 1.87 mg/g. Based on the above results, we deemed that the Codonopsis lanceolata leaves might have potential antioxdant activities. The general nutrients and other antioxidatant bioactive materials in Codonopsis lanceolata leaves were also potential materials for good health food. It is expected that a follow up study of Codonopsis lanceolata leavesthrough developing processed food and evaluation of their functional properties would provide useful information as a source of medicinal foods.

• Journal of the Korean Chemical Society
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• v.55 no.2
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• pp.204-207
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• 2011

A particle counting system that can also provide sensitive, specific chemical information, while consuming very less power, occupying less space, and being inexpensive has been developed. This system uses a microwave plasma torch (MPT) as the excitation source for atomic emission spectrometry (AES). Emission from a single particle can be detected, and the wavelength at which the emission is observed indicates the elements present in the particle. It is believed that correlating the particle size and emission intensity will allow us to estimate the particle size in addition to abovementioned capabilities of the system. In the long term, this system can be made field-portable, so that it can be used in atmospheric aerosol monitoring applications, which require real-time detection and characterization of particles at low concentrations.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.31 no.4
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• pp.317-330
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• 2021

Objectives: By law, companies in Korea must periodically measure workers' exposure to harmful chemicals (the system is called the Work Environment Monitoring Program (WMP)[a]) and report the results to the government. The government also measures exposure to monitor the WMP's reliability (called Reliability Assessment (RA) for WMP[b]). The issue is that measured data from these two sources are so different that the objectivity of WMP needs to be confirmed by comparing the results using the European Centre for Ecotoxicology and Toxicology of Chemicals' Targeted Risk Assessment (ECETOC TRA). Methods: Step 1: Data collection from WMP reports submitted by companies (n=586) and RA for WMP written by the government (n=33). Step 2: Data Standardization by key information included. Step 3: Data conversion to input-variables required to run the ECETOC TRA model, and run the model with specific data (n=514) which meet the predetermined exposure scenario. Step 4: Statistical data analysis by process category (PROC) and ventilation type from each source ([A] and [B]). Step 5: Additional analysis of any unexpected results. Results: The process categories of the production and handling of Dichloromethane were classified into 12 PROCs, and ten of them were selected to run ECETOC TRA. Modeled values tended to be higher than measured values from both sources. For the measured values from WMP, RCR distribution by PROC was narrow (0.197-0.267, 95% CI) and did not have a relationship with ventilation type, which differs from the tendency of the modeling result. Meanwhile, the measured values from RA for WMP were relatively widely distributed (0.301-1.177, 95% CI) by PROC. In particular PROCs (13,19) were high enough to exceed 1. Also, they become low with better ventilation types and appear differently depending on the ventilation type, similar to the model result. Conclusions: This study revealed that ECETOC TRA might have the potential to serve as a screening tool for exposure assessment and to be used as assistive method for WMP to estimate exposure. Further empirical study is required to confirm its availability as a screening tool.

• Journal of ILASS-Korea
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• v.23 no.2
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• pp.81-89
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• 2018

The objective of this study is to estimate the level of exposure of traffic-related air pollutants (TRAPs) on the pedestrians in Seoul area. The road network's link-based pollutant emission was calculated by using a set of mobile source emission factor package and associated activity information. The population information, which is the number of pedestrian, was analyzed in conjunction with the link-based traffic emissions in order to quantify exposure level by selected 23 spots. We proposed the Exposure Intensity, which is defined by the amount of traffic emission and the population, to quantify the probability of exposure of pedestrian. Link-based traffic NOx and PM emissions vary by up to four times depending on the location of each spot. The Hot-spots is estimated to be around 1.8 times higher Exposure Intensity than the average of the 23 selected spots. The information of Exposure Intensity of each spot allows us to develop localized policies for air quality and health. Even in the same area, the Exposure Intensity over time also shows a large fluctuation, which gives suggestions for establishing site-specific counter-measures.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.sup3
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• pp.93-99
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• 2016

Completeness is an important indicator of data quality in cancer registry programs. This study aimed to estimate the completeness of registered cases in a population based cancer registry program implemented in five provinces of Iran. Capture-recapture methods were used to estimate the number of cases that may have been missed and to estimate rates of completeness for different categories of age, year, and sex. The data used for this study were obtained from three sources: 1) National Pathology Database; 2) National Hospital Discharge Database; and 3) National Death Registry Database. The three sources were linked and duplicates were identified based on first name, last name, father's names, and date of birth, ICD code, and case's residency address using Microsoft Excel. Removing duplicates, the three sources reported a total of 35,643 cases from March 2008 to March 2011. Running many different multivariate models of capture-recapture and controlling for source dependencies revealed an overall under-reporting of 49% in all five registries combined. The estimated completeness differed based on age, sex, and year. The overall completeness was higher for males than females (71.2% for males and 59.9% for females). Younger age had lower rates of completeness compared to older age (38.1% for <40 years, 55.4% for 40-60 years, and 76.7 for >60 years). The results of this study indicated a moderate to severe (depending on the age, sex and year) degree of completeness in the population based cancer registration of Iran.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.5
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• pp.1919-1924
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• 2014

Background: In India, breast cancer is the leading malignancy among women in a majority of the cancer registries. Therefore it is important to understand screening practices and its predictors, including in rural areas with high female literacy and good health indices. Materials and Methods: A cross-sectional study with multistage sampling was conducted in Vypin Block, Ernakulam district, Kerala, India. Four Panchayats (self administration units) were randomly chosen and a woman in every second household was invited to participate from the tenth ward of each. Thus a total of 809 women were interviewed. Results: The majority of the repondents (82.1%) were not aware of risk factors and about a third (37.9%) were not aware of symptoms of breast cancer. About half of the population studied (46.6%) had undergone screening. Age (35-50 years), being married, health professionals as source of information and working were significant predictors of screening. Logistic regression showed that older women (35-50 yrs) were more likely to practice screening. Out of the never screened, about a third (35%) were desirous of doing it, but had not for various reasons and 53.5% were not willing to screen. The reasons identified for not screening among those desirous of doing it were grouped into knowledge 66 (43.4%), resources 23 (15.1%) and psychosocial 32(21.1%) factors. Unmarried women were significantly more likely to express factors related to all the three domains. Conclusions: This study showed that in spite of the absence of a population-based screening program, about half of the study population had undergone some type of screening. The older women (35-50 years) in particular were significantly more likely to practice screening. At this critical juncture, a high quality breast cancer awareness and screening initiative can help to consolidate the gains and tackle knowledge, resource and psychosocial barriers.

• Journal of Environmental Health Sciences
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• v.30 no.3
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• pp.293-299
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• 2004

Traffic represents one of the largest sources of primary air pollutants in urban area. As a consequence, numerous abatement strategies are being pursued to decrease the ambient concentration of pollutants. A characteristics of most of the these strategies is a requirement for accurate data on both the quantity and spatial distribution of emissions to air in the form of an atmospheric emission inventory database. In the case of traffic pollution, such an inventory must be compiled using activity statistics and emission factors for vehicle types. The majority of inventories are compiled using passive data from either surveys or transportation models and by their very nature tend to be out-of-date by the time they are compiled. The study of current trends is towards integrating urban traffic control systems and assessments of the environmental effects of motor vehicles. In this study, a model of vehicle emission calculation by using real-time traffic data was studied. Traffic data, which are required on a street-by-street basis, is obtained from induction loops of traffic control system. It is possible that characteristics of hourly air pollutants emission rates is obtained from hourly traffic volume and speed. An emission rates model is allocated with a high resolution space by using geographic information system (GIS). Vehicle emission model was developed with a high resolution spatial, gridded and hourly emission rates.