• Journal of Industrial Convergence
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• v.22 no.1
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• pp.95-103
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• 2024

The purpose of this study was to examine the perceptions and beliefs of physical education teachers regarding learner-centered physical education and to qualitatively explore the stories of physical education teachers that appear in the field of practicing physical education curriculum. The research method was qualitative research, and data were collected and recorded through semi-structured questionnaires, individual interviews, group interviews, and metaphor records, and the data were analyzed through domain analysis and classification analysis. The study was able to derive results by dividing them into 'learner focus', 'overall development', and learning evaluation' in relation to physical education teachers' meaning construction of learner-centered physical education. And the practice of learner-centered physical education and its limitations were presented. In conclusion, the holistic development of learner-centered physical education includes addressing physical, cognitive, social, and emotional aspects. It is believed that this approach will not only measure student progress but also actively contribute to their development as individuals.

• International Journal of Heart Failure
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• v.6 no.1
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• pp.11-19
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• 2024

The prevalence of heart failure (HF) is increasing, necessitating accurate diagnosis and tailored treatment. The accumulation of clinical information from patients with HF generates big data, which poses challenges for traditional analytical methods. To address this, big data approaches and artificial intelligence (AI) have been developed that can effectively predict future observations and outcomes, enabling precise diagnoses and personalized treatments of patients with HF. Machine learning (ML) is a subfield of AI that allows computers to analyze data, find patterns, and make predictions without explicit instructions. ML can be supervised, unsupervised, or semi-supervised. Deep learning is a branch of ML that uses artificial neural networks with multiple layers to find complex patterns. These AI technologies have shown significant potential in various aspects of HF research, including diagnosis, outcome prediction, classification of HF phenotypes, and optimization of treatment strategies. In addition, integrating multiple data sources, such as electrocardiography, electronic health records, and imaging data, can enhance the diagnostic accuracy of AI algorithms. Currently, wearable devices and remote monitoring aided by AI enable the earlier detection of HF and improved patient care. This review focuses on the rationale behind utilizing AI in HF and explores its various applications.

• Childhood Kidney Diseases
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• v.14 no.2
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• pp.154-165
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• 2010

Purpose : We know little about the natural course of IgA nephropathy (IgAN) in association with histologic changes especially in children. We investigated clinicopathologic features with long-term follow-up biopsy to clarify the outcomes and prognostic indicators for childhood IgAN. Methods : From our patients' medical records, we retrieved 20 patients with IgAN, to whom renal biopsies had been performed for the initial diagnosis and follow-up to find out any histologic changes. Initial and follow-up biopsies were classified by Haas classification. The changes of these parameters were compared with the evolution of clinical features. Results : Patients were treated with angiotensin-converting enzyme inhibitors in combination with angiotensin receptor blockers (in subclass II or above) and short-term cyclosporine A(in patients showing nephrotic syndrome). Histologic improvement in 7 cases and deterioration in 3 cases were observed. At the time of last biopsy, 10 cases (50%) showed clinical remission and the others showed improved clinical features. These clinical outcomes did not correlate with initial Haas classifications. Hypertension at onset observed in 5 cases (25%) revealed significant correlation with clinical outcome (P =0.01) and last Haas classification (P =0.007). None of the cases showed progression to CRF or ESRD. Conclusion : During a mean follow-up of $10.8{\pm}3.4$ years, childhood IgAN showed good clinicopathologic outcome. Hypertension at onset was only a strong predictor of clinicopathologic outcomes, but initial Haas classification cannot predict outcomes in children. Histologic change of IgAN in long term follow-up period cannot be completely predicted by clinical data and vice versa. Therefore, a renal biopsy should be considered as a part of follow-up plan.

• Journal of Gastric Cancer
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• v.8 no.4
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• pp.210-216
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• 2008

Purpose: Siewert's classification of adenocarcinoma of the esophagogastric junction (AEG) has been widely adopted, but there is a wide discrepancy of the clinicopathological features of AEG of the Asian patients as compared to that of the Western patients. The aim of this study was to investigate the clinicopathological characteristics of AEG according to the Siewert classification. Materials and Methods: Among the patients who underwent surgery for gastric carcinoma in our institution between May 2004 and February 2008, the AEG patients were selected based on their operation records and the photographs according to Siewert's classification. Results: There were 70 AEG patients (3.9%) among the total of 1,778 patients. There were 3 patients (4.3%) with type I, 30 patients (42.8%) with type II and 37 patients (52.8%) with type III. Curative resection (R0) was achieved in 68 cases (97.1%). No significant differences in gender, stage, Barrett's esophagus and the proximal margin were found between the patients with type II and type III AEG. The patients with type III were younger than the patients with type II (59 vs 64 years, respectively, P=0.049). Well differentiated histology (P=0.045) and the intestinal type (P=0.055) were significantly more frequent in the patients with type II as compared with that in the patients with type III. Conclusion: There was a striking difference of the Asian patients from the Western patients for the incidence of AEG (and especially type I). Some of the differences between type II and type III patients were similar to those of the previous Western studies. A large study is needed to investigate whether these features are typical in the Korean population.

• Journal of Korean Academy of Nursing Administration
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• v.6 no.1
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• pp.135-146
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• 2000

The purpose of this study was to develope, based on the Nursing Intervention Classification (NIC) system. a set of standardized nursing interventions which had been validated. and their associated activities. for use with nursing diagnoses related to home health care for women who have had a caesarian delivery and for their newborn babies. This descriptive study for instrument development had three phases: first. selection of nursing diagnoses. second, validation of the preliminary home health care interventions. and third, application of the home care interventions. In the first phases, diagnoses from 30 nursing records of clients of the home health care agency at P. medical center who were seen between April 21 and July 30. 1998. and from 5 textbooks were examined. Ten nursing diagnoses were selected through a comparison with the NANDA (North American Nursing Diagnosis Association) classification In the second phase. using the selected diagnoses. the nursing interventions were defined from the diagnoses-intervention linkage lists along with associated activities for each intervention list in NIC. To develope the preliminary interventions five-rounds of expertise tests were done. During the first four rounds. 5 experts in clinical nursing participated. and for the final content validity test of the preliminary interventions. 13 experts participated using the Fehring's Delphi technique. The expert group evaluated and defined the set of preliminary nursing interventions. In the third phases, clinical tests were held at in a home health care setting with two home health care nurses using the preliminary intervention list as a questionnaire. Thirty clients referred to the home health care agency at P. medical center between October 1998 and March 1999 were the subjects for this phase. Each of the activities were tested using dichotomous question method. The results of the study are as follows: 1. For the ten nursing diagnoses. 63 appropriate interventions were selected from 369 diagnoses interventions links in NlC., and from 1.465 associated nursing activities. From the 63 interventions. the nurses expert group developed 18 interventions and 258 activities as the preliminary intervention list through a five-round validity test 2. For the fifth content validity test using Fehring's model for determining lCV (Intervention Content Validity), a five point Likert scale was used with values converted to weights as follows: 1=0.0. 2=0.25. 3=0.50. 4=0.75. 5=1.0. Activities of less than O.50 were to be deleted. The range of ICV scores for the nursing diagnoses was 0.95-0.66. for the nursing interventions. 0.98-0.77 and for the nursing activities, 0.95-0.85. By Fehring's method. all of these were included in the preliminary intervention list. 3. Using a questionnaire format for the preliminary intervention list. clinical application tests were done. To define nursing diagnoses. home health care nurses applied each nursing diagnoses to every client. and it was found that 13 were most frequently used of 400 times diagnoses were used. Therefore. 13 nursing diagnoses were defined as validated nursing diagnoses. Ten were the same as from the nursing records and textbooks and three were new from the clinical application. The final list included 'Anxiety', 'Aspiration. risk for'. 'Infant behavior, potential for enhanced, organized'. 'Infant feeding pattern. ineffective'. 'Infection'. 'Knowledge deficit'. 'Nutrition, less than body requirements. altered', 'Pain'. 'Parenting'. 'Skin integrity. risk for. impared' and 'Risk for activity intolerance'. 'Self-esteem disturbance', 'Sleep pattern disturbance' 4. In all. there were 19 interventions. 18 preliminary nursing interventions and one more intervention added from the clinical setting. 'Body image enhancement'. For 265 associated nursing activities. clinical application tests were also done. The intervention rate of 19 interventions was from 81.6% to 100%, so all 19 interventions were in c1uded in the validated intervention set. From the 265 nursing activities. 261(98.5%) were accepted and four activities were deleted. those with an implimentation rate of less than 50%. 5. In conclusion. 13 diagnoses. 19 interventions and 261 activities were validated for the final validated nursing intervention set.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.161-177
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• 2015

With the rapid evolution of technology, the size, number, and the type of databases has increased concomitantly, so data mining approaches face many challenging applications from databases. One such application is discovery of fraud patterns from agricultural product wholesale transaction instances. The agricultural product wholesale market in Korea is huge, and vast numbers of transactions have been made every day. The demand for agricultural products continues to grow, and the use of electronic auction systems raises the efficiency of operations of wholesale market. Certainly, the number of unusual transactions is also assumed to be increased in proportion to the trading amount, where an unusual transaction is often the first sign of fraud. However, it is very difficult to identify and detect these transactions and the corresponding fraud occurred in agricultural product wholesale market because the types of fraud are more intelligent than ever before. The fraud can be detected by verifying the overall transaction records manually, but it requires significant amount of human resources, and ultimately is not a practical approach. Frauds also can be revealed by victim's report or complaint. But there are usually no victims in the agricultural product wholesale frauds because they are committed by collusion of an auction company and an intermediary wholesaler. Nevertheless, it is required to monitor transaction records continuously and to make an effort to prevent any fraud, because the fraud not only disturbs the fair trade order of the market but also reduces the credibility of the market rapidly. Applying data mining to such an environment is very useful since it can discover unknown fraud patterns or features from a large volume of transaction data properly. The objective of this research is to empirically investigate the factors necessary to detect fraud transactions in an agricultural product wholesale market by developing a data mining based fraud detection model. One of major frauds is the phantom transaction, which is a colluding transaction by the seller(auction company or forwarder) and buyer(intermediary wholesaler) to commit the fraud transaction. They pretend to fulfill the transaction by recording false data in the online transaction processing system without actually selling products, and the seller receives money from the buyer. This leads to the overstatement of sales performance and illegal money transfers, which reduces the credibility of market. This paper reviews the environment of wholesale market such as types of transactions, roles of participants of the market, and various types and characteristics of frauds, and introduces the whole process of developing the phantom transaction detection model. The process consists of the following 4 modules: (1) Data cleaning and standardization (2) Statistical data analysis such as distribution and correlation analysis, (3) Construction of classification model using decision-tree induction approach, (4) Verification of the model in terms of hit ratio. We collected real data from 6 associations of agricultural producers in metropolitan markets. Final model with a decision-tree induction approach revealed that monthly average trading price of item offered by forwarders is a key variable in detecting the phantom transaction. The verification procedure also confirmed the suitability of the results. However, even though the performance of the results of this research is satisfactory, sensitive issues are still remained for improving classification accuracy and conciseness of rules. One such issue is the robustness of data mining model. Data mining is very much data-oriented, so data mining models tend to be very sensitive to changes of data or situations. Thus, it is evident that this non-robustness of data mining model requires continuous remodeling as data or situation changes. We hope that this paper suggest valuable guideline to organizations and companies that consider introducing or constructing a fraud detection model in the future.

• Korean Journal of Heritage: History & Science
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• v.55 no.4
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• pp.6-22
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• 2022

In this paper classifies the types of 228 anchor stones discharged from the west and south coasts, assumes a combined method by type, routes through discharge locations, and It attempted to estimate the burial site. Prior to classification of types, the weight, thickness, width, and length of the anchor stone were measured, and the largest Young in the tomb The scent weight was classified into I~V groups, and the shape of the anchor stone was classified into 1-6 types. All of these weight and shape correlations It was classified into 17 types. The combined method by type is 180kg or less depending on the morphological characteristics of the reference value of the extracted anchor stone, and the type An anchor of type 1 or 2 is used in combination with an anchor, and a anchor of type 3 or 6 weighs more than 180kg and is combined with an anchor The dragon was assumed to be an anchor. Along with this, the route and burial site are identified through past records and testimony of local residents It was checked against the data. The route was largely consistent with past records, but the new route was apparent in waters near the island or inland It was also drawn. In the case of burial sites, small and large in Taean Mado Sea and Jindo Byeokpajin Sea, where anchor stones are concentrated, Considering the pattern of the type anchor stones being discharged, it was consistent with the testimony that ships of various sizes were mysterious in the two seas. Based on this type classification, a study on the spatiality of the anchors was conducted. First, a comparison and analysis was done on whether actual real data, such as anchor stones, old ships, and relics, were identified on the Joun-ro route and international trade routes as recorded in the past literature. Where there was no record, the route was estimated based on real data. To this end, routes estimated based on the testimony of local residents and modern ship workers were analyzed as to whether ships traveled there in the past and whether they could actually sail. Next, the location of each seedling was estimated by ship size according to the weight of the anchor stone. In the case of the Taean Mado Sea and Jindo Byeokpajin Sea, both small and large anchor stones were discharged from the coastline and were far away.

• The Journal of Korean Society for School & Community Health Education
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• v.1 no.1
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• pp.11-43
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• 2000

The purpose of this study was, through analyzing the previous researches, to grasp the present status of environment of school building(ESB), research the sundry records of each element and, through comparative analysis of the standard of ESB in Korea, the United States, and Japan, select the normative standard of ESB, to clarify the point at issue presented in Regulation of Construction & facility Management for Elementary and and Secondary School in Korea, and to suggest an alternative preliminary standard of ESB. To carry out a research for this purpose, these were required: 1. to investigate the existing present status of ESB, 2. to make a comparative analysis of the standard of ESB in each country, 3. to suggest the normative standard of preliminary standard of ESB, 4. to analyze the controversial points of the standard of ESB in Korea, 5. to suggest an alternative preliminary standard of ESB. The conclusions were as follows: 1. Putting, through analyzing the previous researches, the existing present status of ESB together, it seemed that lighting environment, indoor air environment and noise environment were all in poor conditions. 2. In the result of a comparative analysis of the standard of ESB in Korea, Japan and the United States, in Korea the factors of each lighting and indoor air environment were not presented properly, in Japan, in lighting environment aspect, the standard on natural lighting and the factors on brightness were not presented., and in the USA the essential factors of each environment were throughly presented. In the comparison of the standards on each factor, Korea showed that the standard level presented was less properly prescribed than those of the USA and Japan but it also showed that the standard levels prescribed in the USA and in Japan were mostly similar to the standard levels in records investigated. 3. With the result of the normative standard selection on School Builiding environment factor of prescribed in this study, the controversial points of the standard of ESB in Korea were analyzed and the result was utilized to suggest new preliminary standard of ESB. 4. As the result of the analysis of the controversial points of the standard of ESB in Korea, it was found that the standard of ESB in Korea should be established on a basis of School Health Act and be concretely presented in School Health Regulation and School Health Rule. The factors of each environment was improperly presented in the existing standard of ESB in Korea. Moreover the standard of them was inferior to that of the records investigated and those of in the USA and in Japan and it also showed that the standard of it in Korea was improper to maintain Comfortable Learning Environment. 5. A suggested preliminary standard of ESB acquired through above study as follows: 1) In this study a new kind of preliminary standard of ESB is divided into lighting environment, indoor air environment, noise environment, odor environment and for above classification, reasonable factor and standard should be established and the controling way on each standard and countermeasures against it should be considered. 2) In lighting environment, the factors of natural lighting are divided into daylight rate, brightness, glare. In the standard on each factor, daylight rate should secure 5% of a mean daylight rate and 2% of a minimum daylight rate, brightness ratio of maximum illumination to minimum illumination should be under 10:1, and in glare there should not be an occurrence factor from a reflector outside of the classroom. And the factors of unnatural lighting are illumination, brightness, and glare. In the standard on each factor, illumination should be 750 lux or more, brightness ratio should be under 3 to 1, and glare should not occur. And Optimal reflection rate(%) of Colors and Facilities of Classroom which influences lighting environment should be considered. 3) In indoor air environment factors, thermal factors are divided into (1) room temperature, (2) relative humidity, (3) room air movement, (4) radiation heat, and harmful gases (5) CO, (6) $CO_2$ that are proceeded from using the heating fuel such as oval briquettes, firewood, charcoal being used in most of the classroom, and finally (7) dust. In the standard on each factor, the next are necessary; room temperature: $16^{\circ}C{\sim}26^{\circ}C$(summer : $E.T18.9{\sim}23.8^{\circ}C$, winter: $E.T16.7{\sim}21.7^{\circ}C$), relative humidity: $30{\sim}80%$, room air movement: under 0.5m/sec, radiation heat: under $5^{\circ}C$ gap between dry-bulb temperature and wet-bulb temperature, below 1000 ppm of ca and below 10ppm of $CO_2$, dust: below 0.10 $mg/m^3$ of Volume of dust in indoor air, and ventilation standard($CO_2$) for purification of indoor air : once/6 min.(about 7 times/40 min.) in an airtight classroom. 4) In the standard on noise environment, noise level should be under 40 dB(A) and the noise measuring way and the countermeasures against it should be considered. 5) In the standard on odor environment, odor level under Physical Method should be under 2 degrees, and the inspecting way and the countermeasures against it should be considered.

• Tuberculosis and Respiratory Diseases
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• v.65 no.1
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• pp.23-28
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• 2008

Background: Thymic epithelial tumors are the most common tumors affecting the anterior mediastinum. The aim of this study is to investigate clinical features of the patients who were diagnosed with thymic epithelial tumors at Pusan National University Hospital. Methods: We retrospectively reviewed the records of thirty-seven patients who were diagnosed with thymic epithelial tumors from Jan. 1997 to Jan. 2007. The pathological classification and clinical stage of the thymic epithelial tumors were based on the WHO classification and Masaoka's staging system. A total 37 patients were enrolled: 23 were males and 14 were females, and their mean age was 51.3 years. Results: Thirty patients presented symptoms at the time of diagnosis and their symptoms were as follows: chest pain (53%), dyspnea (23%), and cough (17%). Myasthenia gravis was diagnosed in five patients. With respect to the tumor staging, three cases (8%) were stage I, 10 cases (28%) were stage II, 12 cases (32%) were stage III, 6 cases (16%) were stage IVA and 6 cases (16%) were stage IVB. Twenty-four cases (67%) displayed stage III or IV disease. The pathological types according to the WHO classification were as follows: B1 (32%), C (23%), B3 (20%), B2 (16%), AB (6%) and A (3%). Twenty-four patients underwent thymothymectomy and four of these patients relapsed. Stage III or type B3 was common in the relapsed patients. Five patientsexpired. Stage IV or type B3 and C were common in the expired patients. Conclusion: In this study, stage III or IV disease and type B3 or C were common at the time of diagnosis and these findings might contribute to postoperative recurrence and a poor outcome.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• v.9 no.1
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• pp.39-47
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• 2006

Purpose: We proposed a new classification of pediatric intussusception based on clinical and radiologic findings. Methods: Data from 88 consecutive patients with intussusception were reviewed. We retrospectively analyzed six factors; patient age, sites of intussusception, symptoms, therapeutic methods, existence of enlarged mesenteric lymph nodes, and ultrasonographic (US) findings from clinical records. Results: 1) There was one neonatal case (1.1%), the others (98.9%) were infants and children. 2) These 87 infant and child cases consisted of 14 cases (16.1%) of small bowel intussusception (SBI) and 73 cases (83.9%) of ileo-colic intussusception (ICI). Of the 14 SBI cases, 12 cases were symptomatic and 2 cases were asymptomatic. The symptomatic group comprised 8 transient cases (66.7%), 3 operative cases (25.0%), and 1 enema-reduction case (8.3%). Two asymptomatic cases were incidentally captured by computed tomography. Of the 73 ICI cases, 19 cases (26.0%) required operation, and 54 (74.0%) enema-reduction. 3) When transient SBI cases were compared with operated SBI cases, enema-reduced and operated ICI cases, the age ($38.0{\pm}22.9$ months) of transient SBI cases were significantly higher than those of the others (p=0.003). Mean mass size ($20.8{\pm}2.7mm$) in transient SBI was significantly smaller than in the others (p=0.0001). 4) No correlation was found between the existence of enlarged mesenteric lymph nodes and therapeutic method or concomitant illness. 5) Most of the target types observed by US were in transient SBI cases, the remainder were in the enema-reduced ICI cases. In terms of the doughnuts type, all 8 cases (34.8%) with an external hypoechoic rim thickness of >8.9mm were treated surgically. Conclusion: Pediatric intussusception may be classified based on clinical and radiologic findings, which are likely to indicate appropriate therapies.