This study examined the Knowledge of Elementary School Teachers Regarding in ADHD Children Education of ADHD children education for 297 elementary school teachers. The knowledge of ADHD children in inclusive education was made through a questionnaire composed of four areas: attitude, burden, efficacy, and promotional conditions on ADHD children. The collected questionnaire was calculated using technical statistics from the SPSS (WIN 22.0) for frequency and percentage. The results of this study are as follows: First, the teachers of general elementary schools are trying to include education of ADHD children. Second, in the burden of general elementary school teachers on ADHD children education, ADHD children showed interruption of learning, interruption of positive learning atmosphere, interruption of order maintenance of general classroom and teacher's class progress. Third, in the efficacy of general elementary school teachers on ADHD children, they did not have the Knowledge of ADHD symptoms, diagnosis and evaluation of ADHD children, teaching ability for ADHD children education, and ability to deal with ADHD children's behavior. Fourth, in the promotion condition of school for ADHD child education, it was found that there was no connection with external institutions for the support of professional manpower for ADHD children and ADHD child supports.
Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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2016.10a
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pp.803-806
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2016
'Pokemon Go',which is game program, provides a clue to solve the problem of healthcare in the sense of leading changes in behavior of the users. 'Pokemon Go'is a spin-off of the $Pok{\acute{e}}mon$ game series and uses Augmented Reality(AR) technology. AR, which can be said to complement the real world, has been used in many fields such as medical applications, broadcasting, manufacturing, the mobile sector as a wide range of technologies. In particular, the medical field as area of the active application from the start of AR, provides a great help in medical fields, that is accurate medical diagnosis and prevention of unnecessary dissection by synthesizing the patient information and the image of actual patient on three-dimensional data of the sensor such as MRI or ultrasonic wave. In this study, we analyze the VR technology trends, application examples, and the future of VR and AR based medical services in healthcare.
Background: Medication adherence in hypertension is the most important to control blood pressure and prevent major complications. The purpose of this study was to identify factors affecting medication adherence and to examine the relationship between medication adherence and blood pressure control in Korea. Methods: This study used data from the 7th Korea national health and nutrition examination survey (2016-2018) of the Korea Disease Control and Prevention Agency. We selected 4,063 hypertensive patients from the data. And we choose socio-demographic, health behavior, healthcare utilization, and severity characteristics as hypertensive patient characteristics. Results: Of the patients with hypertension, 92.3% had shown adherence to medication as of 2016-2018 and shows variation according to the characteristic of patients. The cases with male, under 50 years old, urban area, single household, unmet medical services, less than 5 years of hypertension duration, no comorbidities (diabetes mellitus, myocardial infarction) showed significantly low medication adherence. After adjusting for confounders, adherent patients tended to have lower current systolic blood pressure (β=-10.846, p<0.001) and diastolic blood pressure (β=-5.018, p<0.001) than nonadherent patients. And, adherent patients increased the control odds of blood pressure compared with nonadherent patients (odds ratio, 3.02; 95% confidence interval, 2.21-4.12). Conclusion: This study confirmed that adherence to antihypertensive drugs was effective in controlling blood pressure. In order to more actively manage hypertensive patients at the national level, it is necessary to make an effort to improve the medication compliance of nonadherent groups, such as early-diagnosis patients, young patients under 50 years of age, and patients living alone.
Purpose: This study was conducted to evaluate the prevalence and lifestyle habits of cardiovascular disease (CVD) according to the type of disability in Korean adults compared to adults without disability. Methods: This study was secondary data analysis using the National Health check-up database from 2010 to 2013. Among the total 395,627 adults aged 30~80, the physically disabled (n=21,614) and the mentally disabled (n=1,448) who met the diagnosis criteria were extracted and compared with non-disabled (n=372,565) through 1:2 propensity score matching for nine characteristics. Results: Prior to matching, the prevalence of CVD was 34.4% in individuals without disabilities, accounting for 53.8% in those with physical disabilities and 22.4% in those with mental disabilities, showing significant differences between groups (p<.001). After matching, compared to the individuals without disability, those with physically disabled had significantly higher prevalence of CVD and the average number of CVD (p<.001). The prevalence of hypertension, diabetes, and vascular disease was significantly higher in the physically disabled (p<.05). Drinking was significantly higher in the non-disabled than in the physically and mentally disabled, and smoking was more in the non-disabled than in the mentally disabled. Physical activity was found to be significantly less in both the physically and mentally disabled than in the non-disabled (p<.01). Conclusion: It is necessary to confirm the differences in the prevalence of CVD risk factors and lifestyle according to the type of disability, suggesting the development and verification of health promotion programs including physical activity for CVD prevention in the disabled with CVD risk factors.
de Troya Martin, Magdalena;Sanchez, Nuria Blazquez;Garcia Harana, Cristina;Leiva, Ma Carmen Alarcon;Arjona, Jose Aguilera;Ruiz, Francisco Rivas;de Galvez Aranda, Ma Victoria
Safety and Health at Work
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v.12
no.2
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pp.244-248
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2021
Background: Sunburn is the main avoidable cause of skin cancer. Beach lifeguards spend many hours exposed to the effects of solar radiation during their work day, precisely at times of the year when levels of solar irradiation are highest. The aim of this study is to quantify the risk to beach lifeguards of sun exposure. Methods: A descriptive cross-sectional study was carried out in the Western Costa del Sol, southern Spain, during the summer of 2018. The research subjects were recruited during a skin cancer prevention course for beach lifeguards. All participants were invited to complete a questionnaire on their habits, attitudes, and knowledge related to sun exposure. In addition, ten were specially monitored using personal dosimeters for three consecutive days, and the results were recorded in a photoprotection diary. A descriptive analysis (mean and standard deviation for the quantitative variables) was performed, and inter-group differences were evaluated using the Mann-Whitney U test. Results: Two hundred fifteen lifeguards completed the questionnaire, and 109 met the criteria for inclusion in this analysis. The mean age was 23.8 years (SD: 5.1), 78.0% were male, 71.5% were phototype III or IV (Fitzpatrick's phototype), and 77.1% had experienced at least one painful sunburn during the previous summer. The mean daily personal ultraviolet exposure per day, the minimal erythema dose, and the standard erythema dose, in J/m2, were 634.7 [standard deviation (SD): 356.2], 2.5 (SD: 1.4) and 6.35 (SD: 3.6), respectively. Conclusion: Beach lifeguards receive very high doses of solar radiation during the work day and experience correspondingly high rates of sunburn. Intervention strategies to modify their sun exposure behavior and working environment are necessary to reduce the risk of skin cancer for these workers and to promote early diagnosis of the disease.
To train deep learning algorithms, a sufficient number of data are required. However, in most engineering systems, the acquisition of fault data is difficult or sometimes not feasible, while normal data are secured. The dearth of data is one of the major challenges to developing deep learning models, and fault diagnosis in particular cannot be made in the absence of fault data. With this context, this paper proposes an anomaly detection methodology for rotating machines using only normal data with self-labeling. Since only normal data are used for anomaly detection, a self-labeling method is used to generate a new labeled dataset. The overall procedure includes the following three steps: (1) transformation of normal data to self-labeled data based on a pretext task, (2) training the convolutional neural networks (CNN), and (3) anomaly detection using defined anomaly score based on the softmax output of the trained CNN. The softmax value of the abnormal sample shows different behavior from the normal softmax values. To verify the proposed method, four case studies were conducted, on the Case Western Reserve University (CWRU) bearing dataset, IEEE PHM 2012 data challenge dataset, PHMAP 2021 data challenge dataset, and laboratory bearing testbed; and the results were compared to those of existing machine learning and deep learning methods. The results showed that the proposed algorithm could detect faults in the bearing testbed and compressor with over 99.7% accuracy. In particular, it was possible to detect not only bearing faults but also structural faults such as unbalance and belt looseness with very high accuracy. Compared with the existing GAN, the autoencoder-based anomaly detection algorithm, the proposed method showed high anomaly detection performance.
Safety has once again emerged as a social issue due to the enforcement of the Serious Disasters Punishment Act and the occurrence of major disasters recently. As such, the safety culture related to unsafe human behavior is drawing attention as various discussions about the importance of safety and accident prevention are currently being undertaken. This study aims to determine whether changes in the level of safety culture in companies affect the accident rate. To this end, we targeted three workplaces in the same company in the domestic manufacturing industry, and 2,790 people were surveyed using DNV's Safety Will(ISRS-C version 4.0) for safety culture level diagnosis. The change in safety culture level and accident rate were compared and analyzed after carrying out safety culture level improvement activities for 5 years. As a result, the level of safety culture increased by 5.8 points, an overall improvement of 9.5%, while the total number of accidents decreased by 20%, from 5 to 4, indicating a general decreasing trend in accident occurrence. Results confirmed that the change in the level of safety culture affects the accident rate, and the improvement in the level of safety culture affects a reduction in accidents. Therefore, this study suggests that efforts to improve the level of safety culture within a company can be associated with accident reduction and accident prevention outcomes.
An understanding of the knowledges, attitudes and perceptions of different populations is key for public health policy makers. Here, a survey was performed on knowledge, attitudes, and perceptions about malaria diagnosis, prevention, control, and treatment. The 407 survey participants included both uninfected inhabitants and patients from 2 cities (Gimpo- and Paju-si) of Northern Gyeonggi-do, known as high-risk areas for vivax malaria. We used community-based study design and non-probability sampling method using the primary data. Association between variables were tested using χ2-tests. In general, the information on malaria reported by the participants in this study was unsystematic and included inaccurate details. The knowledge of malaria symptoms, identified as headache, chills and fever, was high, but the surveyed community lacks knowledge of the specific medications used for malaria treatment, with a large number of respondents having no knowledge of any form of medication. Survey questions with high correct answer rates included questions about easy treatment of malaria in Korea, the high daytime activity of malaria-borne mosquitoes, and the infection risk posed by outdoor activities. However, a large portion of the respondents was unable to provide simple medical and biological information about the disease. This study aimed to comprehensively evaluate the knowledge, attitude, and practical behavior of the surveyed community with respect to malaria and the implications reported here could be applicable to other malaria endemic areas in Korea.
Background: This study was aimed at reducing depression and improving the quality of life and oral health of the elderly Koreans by elucidating the effect of depression on their life quality and oral health. Methods: Original data from the 8th National Health and Nutrition Survey (2019) were analyzed and implemented. The elderly (age≥65years) Koreans were enrolled. The oral health status was determined using the Decayed, Missing, Filled Teeth (DMFT) index and subjective self-report. The quality of life was quantified as the sum of score of each item in the Euro Qol-5 dimension (EQ-5D) and Health-related Quality of Life Instrument with 8 Items (HINT-8). The t-test, one-way analysis of variance, correlation analysis, and multiple regression analysis were performed to statistically compare the quality of life, oral health status, and oral health status according to the depression status. Results: EQ-5D and HINT-8 scores differed significantly with the history of depression, current depression, stress perception, depression for 2 weeks, and annual suicidal intention (p≤0.05). The DMFT index score differed significantly with the depression diagnosis and depression for 2 weeks (p≤0.05). EQ-5D, HINT-8, and DMFT index differed significantly with all oral health behavior variables (p≤ 0.05). Conclusions: The results of this study could serve as a basis to formulate oral health programs for the elderly to reduce depression and improve the quality of life.
Journal of Practical Agriculture & Fisheries Research
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v.25
no.3
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pp.30-34
/
2023
White leg shrimps which were cultured in a private aquaculture farm showed abnormal swimming behavior and appetite reduction in July 2023. Then, gradual mortality was observed in the aquaculture farm. During the diagnosis, bacterial strain KNUAFVaSHP08147 was isolated from the hepatopancreas of the dead shrimps. Based on the sequence of 16S rRNA gene, KNUAFVa-SHP08147 was proved to be Vibrio alginolyticus, showing 99.71 % nucleotide identity with that of V. alginolyticus MG54 and GS MYPK1. According to the result of the growth of KNUAFVa-SHP08147, the treatment a commercial disinfectant, VirkonTMS was not proved to be effective to prohibit the growth of Vibrio.
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