• Korean Journal of Labor Studies
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• v.17 no.1
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• pp.139-176
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• 2011

Non-regular workers came to the fore while working class formation was in retreat along with the democratic labor movement of regular workers. The formation of principal agents, however, is yet to occur. Then, why non-regular workers' struggles could not yield a consequence in that regard? What kind of factors are to determine the outcome of the struggles and how do they do it? It is the aim of this study to answer those questions. In contrast with regular workers' struggles, non-regular workers' struggles tend to break out in response to capitalist offensives, rely on atypical and, often, extreme measures of struggle rather than strike in the form of work stoppage, drag out for too long, and appeal for social solidarity outside when the solidarity of regular workers is not available. Non-regular workers' struggles tend to end up with failure rather than success, and with weakening rather than strengthening of their organizational strength. So as to overcome the tendency to fail, non-regular workers' struggles need regular workers' solidarity in addition to their own strong mobilization power, while social solidarity or positional power could substitute for regular workers' solidarity in some cases. So as to build up their organizational strength, non-regular workers' struggles should win victories in the struggles, while a victory could turn into a trap in the case of conversion. Both regular workers' solidarity and the internal integration of the struggles are two foremost important factors in achieving the victory of struggles and the building-up of organizational strength. Those who have got involved in struggles are from the best organized sector among all the non-regular workers. As they have gone through weakening of organizational strength, it becomes more difficult for non-regular workers to form principal agents. Without non-regular workers' struggles, however, the capitalist offensives must have carried the day. In that sense, non-regular workers' struggles did a role in at least detaining capitalist offensives, if not stopping them. The practical implication of non-regular workers' struggles is that, if non-regular workers redefine the ultimate goal of their struggles as the formation of their principal agents for working class formation, it would be a strategically rational choice to identify the strategic objective of struggles with the maintaining and strengthening of their organizational strength rather than the achievement of their immediate demands.

• Pediatric Infection and Vaccine
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• v.30 no.1
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• pp.20-32
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• 2023

Purpose: This study aimed to identify the etiology and risk factors of community-acquired pneumonia (CAP) requiring hospitalization in Korean children during the coronavirus disease 2019 (COVID-19) pandemic. Methods: Clinical information of children admitted with CAP to Seoul National University Children's Hospital (SNUCH) between January 1, 2021, and February 28, 2022, was retrospectively collected and analyzed. In addition, the etiologic diagnosis and demographic data of children with CAP who were discharged at the other seven hospitals between January and February 2022 were collected. Pneumonia was diagnosed using strict criteria comprising clinical symptoms, physical examination findings, and chest radiographic findings. Results: Among 91 children hospitalized with CAP at SNUCH during the 14-month period, 68.4% were aged <5 years and 79.1% had underlying diseases. Among the 95 CAP cases, respiratory assistance was required in 70.5%, and the use of a ventilator was required in 20.0%. A total of five patients expired, all of whom were either immunocompromised or had underlying neurological diseases. Neurological diseases and immunosuppression were significantly correlated with respiratory assistance (P=0.003) and death (P=0.014). A total of 55% of the detected respiratory pathogens were viruses, the most common of which was rhinovirus at 35.9%. Among the 169 children hospitalized for CAP at the eight institutions, ≥1 respiratory virus was detected in 92.3%, among which respiratory syncytial virus (79.8%) was the most prevalent. Conclusions: Even during the COVID-19 pandemic, Korean children were hospitalized with CAP caused by seasonal respiratory viral pathogens. Although atypical and pyogenic bacteria were not detected, continuous clinical monitoring and further prospective studies should be conducted.

• Journal of Yeungnam Medical Science
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• v.16 no.2
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• pp.283-295
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• 1999

Background: Patients with acute non-traumatic chest pain are among the most challenging patients for care by emergency physicians, so the correct diagnosis and triage of patients with chest pain in the emergency department(ED) becomes important. To avoid discharging patients with acute myocardial infarction(AMI) without medical care, most emergency physicians attempt to admit almost all patients with acute chest pain and order many laboratory tests for the patients. But in practice, many patients with non-cardiac pain can be discharged with simple tests and treatment. These patients occupy expensive intensive care beds, substantially increasing financial cost and time of stay at ED for the diagnosis and treatment of myocardial ischemia and AMI. Despite vigorous efforts to identify patients with ischemic heart disease, approximately 2% to 5% of patients presented to the ED with AMI and chest pain are inadvertently discharged. If the cause for the chest pain is known, rapid and accurate diagnosis can be implemented, preventing wastes in time and money and inadvertent discharge. Methods and Results: The medical records of 488 patients from Jan. 1 to Dec. 31, 1997 were reviewed. There were 320(angina pectoris 140, AMI 128) cases of cardiac diseases, and 168(atypical chest pain 56, pneumothorax 47) cases of non-cardiac diseases. The number of associated symptoms were $1.1{\pm}0.9$ in non-cardiac diseases, $1.4{\pm}1.1$ in cardiac diseases and $1.7{\pm}1.1$ in AMI(p<0.05). In laboratory finding the sensitivity of electrocardiography(EKG) was 96.1%, while the sensitivity of myoglobin test ranked 45.1%. Admission rate was 71.6% in for cardiac diseases and 50.6% for non-cardiac diseases(p<0.01). Mortality rate was 8.8% in all cases, 13.8% in cardiac diseases, 0.6% in non-cardiac diseases, and 28.1% especially in AMI. Conclusion: In conclusion, all emergency physicians should have thorough knowledge of the clinical characteristics of the diseases which cause non-traumatic chest pain, because a patient with any of these life-threatening diseases would require immediate treatment. Detailed history on the patient should be taken and physical examination performed. Then, the most simple diagnostic approach should be used to make an early diagnosis and to provide treatment.

• Tuberculosis and Respiratory Diseases
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• v.54 no.1
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• pp.33-44
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• 2003

Background : Mycobacterium avium complex(MAC) is the most common respiratory pathogen in nontuberculous mycobacterial pulmonary disease. This study described the clinical characteristics of the patients with pulmonary disease caused by MAC. Materials and Methods : The clinical characteristics of 24 patients with pulmonary disease caused by the MAC, who fulfilled the 1997 American Thoracic Society diagnostic criteria for nontuberculous mycobacterial pulmonary disease, were retrospectively analyzed. Results : Fourteen patients(58%) were male and the median age at diagnosis was 61 years(range 46-75). Of the 24 patients, 16(67%) had a M. intracellulare infection, 7(29%) had a M. avium infection and one patient was not identified. Coughing (92%) and sputum (88%) were most frequently observed symptoms. The sputum smear for acid-fast bacilli was positive in 17(71%) patients. Fourteen(58%) patients had the upper lobe cavitary form and 10(42%) patients had the nodular bronchiectatic form. In a comparison between the patients with the upper lobe cavitary form and those with the nodular bronchiectatic form, significant differences were found according to sex(male 86% vs. 20%, p=0.003), smoking history(79% vs. 10%, p=0.008), the presence of an underlying disease(64% vs. 20%, p=0.036), the pulmonary function(% forced vital capacity, median 71% vs. 88%, p=0.022; % forced expiratory volume in one second, median 69% vs. 89%, p=0.051) and bilateral disease at chest radiography(29% vs. 90%, p=0.005). The time from the onset of symptoms to diagnosis was longer in those with the nodular bronchiectatic form(median 72 months, range 8-132) than those with the upper lobe cavitary form(median 22 months, range 6-60) Conclusions : MAC pulmonary disease occurs in two distinct populations with two distinct clinical presentations. For a correct diagnosis of MAC pulmonary disease, knowledge of the diverse clinical and radiological findings is essential.

• The Korean Journal of Pharmacology
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• v.29 no.1
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• pp.85-96
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• 1993

To investigate the alteration of transferrin receptor (TfR) in the proliferating or transformed liver cells, $^{125}I-transferrin$ binding experiment was carried out in the isolated parenchymal cells (PC) or nonparenchymal cells (NPC) from normal regenerated rat liver after partial hepatectomy and from the liver of 3-methyl-4-dimethyl-aminoazobenzene (3-Me-DAB) treated rat. With the administration of 3-Me-DAB for 8 weeks, the liver tissue showed marked morphologic changes of oval cell proliferation, regenerations of hepatocytes, and atypical proliferations of bile ducts, but these changes were little affected by partial hepatectomy. Transferrin binding values in PC or NPC homogenate from the regenerated liver of normal rat, were increased by 3rd day and diminished to control level at 7th day after partial hepatectomy. With the treatement of 3-Me-DAB for 8 weeks, transferrin binding sites in homogenates were higher than those of normal rat liver and increased by 7th day after partial hepatectomy. Transferrin binding sites (Bmax) in the cell membrane of NPC were higher than those of PC of normal rat liver, but there was no significant difference in Kd values between both groups (5.05, 6.3 nM). In the normal resenerated rat liver, transferrin binding sites in the PC or NPC plasma membrane, were increased by 3rd day and diminished to control level at 7th day after partial hepatectomy. With 3-Me-DAB tratment, transferrin binding sites in both liver NPC and PC plasma membrane were increased about 3 folds, compared to those in each plasma membrane of normal rat liver. And after partial hepatectomy of 3-Me-DAB trated rat, transferrin binding sites were increased by the 3rd day in the NPC plasma membrane but increased by the 7th day in the PC plasma membrane. In the transferrin binding sites of the PC or NPC plasma membrane of 3-Me-DAB treated liver, two kinds of Kd values $(3.1{\sim}4.7\;nM,\;25.4{\sim}54.1\;nM)$ were detected. The present results suggest that 1) TfRs are distributed in the liver PC as well as NPC; 2) Increased TfRs in PC or NPC plasma membrane of normal regenerated liver after partial hepatectomy and 3-Me-DAB treated rat liver, may be due to increased intracellular synthesis; 3) Increased TfRs in normal regenerated liver after partial hepatectomy might be related to the expression of a single type of high affinity site $(Kd,\;3.1{\sim}7.5\;nM)$, but in 3-Me-DAB treated rat liver might be related to the expression of high and low affinity types of receptors $(Kd,\;25.4{\sim}54.1\;nm)$.

• Journal of Intelligence and Information Systems
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• v.18 no.2
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• pp.143-156
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• 2012

People easily believe that news and stock index are closely related. They think that securing news before anyone else can help them forecast the stock prices and enjoy great profit, or perhaps capture the investment opportunity. However, it is no easy feat to determine to what extent the two are related, come up with the investment decision based on news, or find out such investment information is valid. If the significance of news and its impact on the stock market are analyzed, it will be possible to extract the information that can assist the investment decisions. The reality however is that the world is inundated with a massive wave of news in real time. And news is not patterned text. This study suggests the stock-index invest model based on "News Big Data" opinion mining that systematically collects, categorizes and analyzes the news and creates investment information. To verify the validity of the model, the relationship between the result of news opinion mining and stock-index was empirically analyzed by using statistics. Steps in the mining that converts news into information for investment decision making, are as follows. First, it is indexing information of news after getting a supply of news from news provider that collects news on real-time basis. Not only contents of news but also various information such as media, time, and news type and so on are collected and classified, and then are reworked as variable from which investment decision making can be inferred. Next step is to derive word that can judge polarity by separating text of news contents into morpheme, and to tag positive/negative polarity of each word by comparing this with sentimental dictionary. Third, positive/negative polarity of news is judged by using indexed classification information and scoring rule, and then final investment decision making information is derived according to daily scoring criteria. For this study, KOSPI index and its fluctuation range has been collected for 63 days that stock market was open during 3 months from July 2011 to September in Korea Exchange, and news data was collected by parsing 766 articles of economic news media M company on web page among article carried on stock information>news>main news of portal site Naver.com. In change of the price index of stocks during 3 months, it rose on 33 days and fell on 30 days, and news contents included 197 news articles before opening of stock market, 385 news articles during the session, 184 news articles after closing of market. Results of mining of collected news contents and of comparison with stock price showed that positive/negative opinion of news contents had significant relation with stock price, and change of the price index of stocks could be better explained in case of applying news opinion by deriving in positive/negative ratio instead of judging between simplified positive and negative opinion. And in order to check whether news had an effect on fluctuation of stock price, or at least went ahead of fluctuation of stock price, in the results that change of stock price was compared only with news happening before opening of stock market, it was verified to be statistically significant as well. In addition, because news contained various type and information such as social, economic, and overseas news, and corporate earnings, the present condition of type of industry, market outlook, the present condition of market and so on, it was expected that influence on stock market or significance of the relation would be different according to the type of news, and therefore each type of news was compared with fluctuation of stock price, and the results showed that market condition, outlook, and overseas news was the most useful to explain fluctuation of news. On the contrary, news about individual company was not statistically significant, but opinion mining value showed tendency opposite to stock price, and the reason can be thought to be the appearance of promotional and planned news for preventing stock price from falling. Finally, multiple regression analysis and logistic regression analysis was carried out in order to derive function of investment decision making on the basis of relation between positive/negative opinion of news and stock price, and the results showed that regression equation using variable of market conditions, outlook, and overseas news before opening of stock market was statistically significant, and classification accuracy of logistic regression accuracy results was shown to be 70.0% in rise of stock price, 78.8% in fall of stock price, and 74.6% on average. This study first analyzed relation between news and stock price through analyzing and quantifying sensitivity of atypical news contents by using opinion mining among big data analysis techniques, and furthermore, proposed and verified smart investment decision making model that could systematically carry out opinion mining and derive and support investment information. This shows that news can be used as variable to predict the price index of stocks for investment, and it is expected the model can be used as real investment support system if it is implemented as system and verified in the future.