• Food Science and Preservation
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• v.21 no.2
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• pp.170-174
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• 2014

Hepatitis A virus (HAV) infection leads to acute liver failure and death through the intake of contaminated food. The polymerase chain reaction (PCR) has been used to detect HAV in food samples. HAV detection takes a long time, however, due to the virus concentration step required before PCR assay. In this study, a rapid method of detecting the HAVs present in lettuce using immunomagnetic separation combined with quantum dots (IMS-QDs) assay was developed. The detection limit of IMS-QDs for HAV was 10 $TCID_{50}/mL$, similar to the result that was obtained using RT-PCR combined with PEG or IMS. The application of IMS-QDs assay completed the viral detection within one hour, but this was not possible using PEG combined with RT-PCR. In conclusion, IMS-QDs assay is a rapid and efficient method for detecting HAV at a low concentration in agricultural products.

• Tuberculosis and Respiratory Diseases
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• v.47 no.2
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• pp.184-194
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• 1999

Backgrounds : The advent of penicillin has led to the marked reduction in the mortality from pneumococcal bacteremia, however, the mortality is still relatively high in this post-antibiotic era. Actually the prevalence of infection due to penicillin-resistant penumococci is increasing worldwide, and it is especially high in Korea due to irrelevant use of antibiotics. So, the high mortality of pneumococcal sepsis might be related to the emergence of penicillin-resistant strains, however, many other antibiotics, which eradicate pneumococci effectively, are available in these days. This has led us to suspect the role of penicillin-resistance in the high mortality rate. In this study, we evaluated the effect of penicillin resistance on the mortality of patients with penumococcal bacte remia. Methods: The study population consisted of 50 adult patients with penumococcal bacteremia who were admitted between Jan, 1990 and July, 1997. Medical records were analyzed retrospectively. Results: Most of the patients (96%) had underlying diseases. The most common local disease associated with pneumococcal bacteremia was pneumonia (42%), which was followed by spontaneous bacterial peritonitis (14%), cholangitis (10%), meningitis (8%), liver abscess (4%), pharyngotonsillitis (4%), sinusitis (2%) and cellulitis (2%). While the overall case-fatality rate in this study was 24%, it was higher when peumococcal bacteremia was associated with pneumonia (42%) or meningitis (50%). The rate of penicillin resistance was 40%, which was increased rapidly from 1991. The rate of penicillin resistance was significantly higher in patients with the history of recent antibiotics use and hospitalization within 3 months respectively. The clinical manifestations, that is, age, severity of underlying diseases, nosocomial infection, associated local diseases, and the presence of shock or acute renal failure were not statistically different between the patients with penicillin-resistant and -sensitive pneumococcal bacteremia. The mortality of patients infected with penicillin-resistant pneumococci was not statistically different from those with penicillin-sensitive pneumococcal bacteremia. Conclusion: Penicillin resistance is not associated with high mortality in adult patients with pneumococcal bacteremia. As the overall mortality is high, active penumococcal vaccination is recommended in patients with high risk of infection.

• Radiation Oncology Journal
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• v.20 no.2
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• pp.93-99
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• 2002

Purpose : We intended to decrease late CNS reaction after radical radiotherapy for an intracranial germinoma by using combined neoadjuvant chemotherapy and involved-field radiotherapy. The efficacy in terms of its acute toxicity and short-term relapse patterns was analyzed. Materials and Methods : Eighteen patients were treated with combined neoadjuvant chemotherapy and radiotherapy between 1995 and 2001. The chemotherapy regimen used was the Children's Cancer Group (CCG) 9921A (cisplatin, cyclophosphamide, VP-16, vincristine) for 5 patients younger than 16 years, BEP (bleomycin, VP-16, cisplatin) for 12 patients, and EP (VP-16, cisplatin) for 1 patient. The radiotherapy covered the whole craniospinal axis for 5 patients, the whole brain for 1, and the partial brain (involved field) for 12. the primary lesion received tumour doses between 3,960 and 5,400 cGy. Results : The male to female ratio was 16:2 and the median age was 16 years old. The tumors were located in the pineal gland in 12 patients, in the suprasellar region in 1, in the basal ganglia In 1, in the thalamus in 1. Three patients had multiple lesions and ventricular seedings were shown at MRI. In 3 patients, tumor cells were detected in the cerebrospinal fluid and MRI detected a spinal seeding in 2 patients. The response to neoadjuvant chemotherapy was complete remission in 5 patients, partial remission in 12, and no response in 1. However, after radiotherapy, all except 1 patient experienced complete remission. The toxicity during or after chemotherapy greater than or equal to grade III was remarkable; hematologic toxicity was observed in 11 patients, liver toxicity in none, kidney toxicity in none, and gastrointestinal toxicity in one. One patient suffered from bleomycin-induced pneumonitis. Radiotherapy was therefore stopped and the patient eventually died of respiratory failure. The other 17 are alive without any evidence of disease or relapse during an average of 20 months follow-up. Conclusion : A high response rate and disease control was experienced, which was the same as observed other studies and the morbidity from chemotherapy-induced toxicity was similar. With these results, the results from adjuvant chemotherapy and involved-field radiotherapy cannot be concluded to be equal to those from extended-field radiotherapy. The long term follow-up study on later complications are required in order to draw definite conclusions on the optimal management with minimum side effects.

• Journal of Korean Society of Transportation
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• v.23 no.2
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• pp.117-130
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• 2005

In both deteministic user Optimal Traffic Assignment Model (UOTAM) and stochastic UOTAM, travel time, which is a major ccriterion for traffic loading over transportation network, is defined by the sum of link travel time and turn delay at intersections. In this assignment method, drivers actual route perception processes and choice behaviors, which can become main explanatory factors, are not sufficiently considered: therefore may result in biased traffic loading. Even though there have been some efforts in Stochastic UOTAM for reflecting drivers' route perception cost by assuming cumulative distribution function of link travel time, it has not been fundamental fruitions, but some trials based on the unreasonable assumptions of Probit model of truncated travel time distribution function and Logit model of independency of inter-link congestion. The critical reason why deterministic UOTAM have not been able to reflect route perception cost is that the route perception cost has each different value according to each origin, destination, and path connection the origin and destination. Therefore in order to find the optimum route between OD pair, route enumeration problem that all routes connecting an OD pair must be compared is encountered, and it is the critical reason causing computational failure because uncountable number of path may be enumerated as the scale of transportation network become bigger. The purpose of this study is to propose a method to enable UOTAM to reflect route perception cost without route enumeration between an O-D pair. For this purpose, this study defines a link as a least definition of path. Thus since each link can be treated as a path, in two links searching process of the link label based optimum path algorithm, the route enumeration between OD pair can be reduced the scale of finding optimum path to all links. The computational burden of this method is no more than link label based optimum path algorithm. Each different perception cost is embedded as a quantitative value generated by comparing the sub-path from the origin to the searching link and the searched link.

• Tuberculosis and Respiratory Diseases
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• v.42 no.4
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• pp.535-547
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• 1995

Background: Intensive care units(ICUs) probably represent the single largest identifiable source of infection within the hospital. Although there are several studies on ICU infections in respect to their bacteriology or mortality rate for individual types of ICU, few studies have compared ICU infections between different types of ICU. The aim of this study was to identify clinical differences in bacteremia between medical ICU(MICU) and surgical ICU(SICU) patients. Methods: 256 patients with bacteremia were retrospectively evaluated. Medical records were reviewed to obtain the clinical and bacteriologic informations. Results: 1) The mean age of the patients with bacteremia of MICU($58.6{\pm}17.2\;yr$) was greater than that of all MICU patients($54.3{\pm}17.1\;yr$)(p<0.01), but there was no significant difference in SICU patients(patients with bacteremia of SICU: $56.3{\pm}18.6\;yr$, all SICU patients: $62.0{\pm}16.8$)(p>0.05). ICU stay was longer(MICU patients: $23.4{\pm}40.8$ day, SICU patients: $30.3{\pm}26.8$ day) than the mean stay of all patients($6.8{\pm}15.5$ day)(p<0.05, respectively). Bacteremia of both ICU patients developed past the average day of ICU stay(all MICU patients: 7.9 day, all SICU patients: 6.0 day, MICU bacteremia: 19th day, SICU bacteremia: 17th day of ICU stay)(p<0.05, respectively). 2) There were no significant differences in mean age, sex, and length of stay of both ICU patients with bacteremia. 3) Use of antibiotics or steroid, use of percutaneous devices and invasive procedures before development of bacteremia were more frequent in SICU patients than in MICU patients(prior antibiotics use: MICU 45%, SICU 63%, p<0.05; steroid use: MICU 14%, SICU 36%, p<0.01; use of percutaneous devices: MICU 19%, SICU 39%, p<0.01; invasive procedures: MICU 19%, SICU 61 %, p<0.01). 4) The prevalence of community acquired infections was significantly higher in MICU patients than in SICU patients(MICU 42%, SICU 9%)(p<0.01), whereas SICU patients showed higher prevalence of ICU-acquired infection than MICU patients(MICU 48%, SICU 78%)(p<0.01). 5) There were no differences in causative organisms, primary sites of infection and time interval to bacteremia between both ICUs. 6) There were no significant differences in outcome according to pathogenic organisms or primary sites of infection. 7) The mortality rate was higher in patients with bacteremia than without bacteremia(MICU mortality rate: patients with bacteremia 72.5%, patients without bacteremia 36.0%, p<0.01; SICU mortality rate: patients with bacteremia 40.3%, patients without bacteremia 8.5%, p<0.05), and the mortality rate of MICU bacteremia was significantly higher compared with that of SICU bacteremia(MICU 72.5%, SICU 40.3%)(p<0.01). Conclusion: ICU patients with bacteremia stayed longer before the development of bacteremia, and showed higher mortality than the overall ICU population. The incidence of bacteremia was higher in MICU patients than SICU patients. MICU patients with bacteremia showed higher prevalence of liver diseases and acute respiratory failure, community-acquired bacteremia and greater mortality rate than SICU patients with bacteremia. SICU patients with bacteremia, on the other hand, showed higher prevalence of trauma, prior use of immunosuppressive agents, invasive procedures, and ICU-acquired bacteremia, and lower mortality rate than MICU patients with bacteremia.