TOEIC, TOEFL, TEPS, G-TELP, FLEX 시험 읽기영역의 텍스트 난이도 비교분석: 어휘적, 통사적, 담화적 수준과 이독성을 중심으로

이지연 ( Lee¸ Jeeyeon ) 글로벌영어교육학회(구 호남영어교육학회) 2020 Studies in English education Vol.25 No.4

This study conducted a corpus-based analysis to examine the difficulty level of texts used in the reading section of the five standardized EFL tests: TOEIC, TOEFL, TEPS, G-TELP, and FLEX. For the data analysis of the five EFL tests, three actual tests were extracted from each test preparation book. and were all scanned to convert PDF files to Text files. As for the analysis tools, Lexical Complexity Analyzer (LSA) and Coh-Metrix 3.0 were used for lexical, syntactic, and discourse levels and readability. As a result of the study, there were statistically significant differences in all sub-indicators except ADVV in lexical analysis including lexical density, lexical sophistication, and lexical variation. As for syntactic analysis, there was no statistically significant difference in syntactic complexity and syntactic pattern density except for SYNSTRUTa, DRPP, and DRNEG. In the case of discourse analysis, there were statistically significant differences in all indicators in the connectives except for LSASS1 and LSASSp and the latent semantic analysis. Finally, there was a statistically significant difference in readability. The overall findings suggest that TOEFL contains the most difficult texts, followed by FLEX, G-TELP, TEPS, and TOEIC. The results of this study can be used by domestic test developers to control the text difficulty, and by English learners to select and prepare for the five EFL tests.

Combination of Hydrophobic Filtration and Enrichment Methods for Detecting Bacillus cereus in Fresh-Cut Cabbage

Lee, Sujung,Choi, Yukyung,Lee, Heeyoung,Kim, Sejeong,Lee, Jeeyeon,Ha, Jimyeong,Oh, Hyemin,Lee, Yewon,Kim, Yujin,Yoon, Yohan,Lee, Soomin The Korean Society of Food Hygiene and Safety 2018 한국식품위생안전성학회지 Vol.33 No.5

본 연구에서는 신선편이 양배추 내 Bacillus cereus의 최적 증균 온도를 선정하고 증균배양액에 소수성필터를 적용하여 multiplex PCR의 검출률을 확인하였다. B. cereus 증균온도는 B. cereus 균주 5 개를 혼합하여 1 Log CFU/mL이 되도록 증균배지에 접종하고 $30^{\circ}C$, $37^{\circ}C$, $42^{\circ}C$에서 증균한 뒤 3시간 간격으로 MYP agar에 도말한 후 계수하여 선정하였다. 소수성필터 미적용 그룹은 B. cereus 균주 5 개를 혼합하여 신선편이 양배추에 접종한 뒤 최적 증균온도에서 증균하였으며, 증균배양액을 가열하여 DNA를 추출한 뒤 multiplex PCR을 진행하였다. 소수성필터 적용 그룹은 증균배양액을 소수성 필터에 적용하고 필터에 있는 균을 멸균증류수로 현탁한 뒤 가열하여 추출된 DNA로 multiplex PCR을 진행하였다. 증균온도 확인 결과, 6시간 증균 시 $42^{\circ}C$에서 증균된 샘플($5.4{\pm}0.3Log\;CFU/mL$)과 $30^{\circ}C$에서 증균된 샘플($4.6{\pm}0.6Log\;CFU/mL$) 간 유의차가 확인되었다(p < 0.05). 소수성필터 적용 유무에 따른 multiplex PCR 결과, 1 Log CFU/g 접종된 샘플의 검출률이 소수성 필터 적용 전 60%(3/5)에서 100%(5/5)로 향상되었다. 2 Log CFU/g 접종 샘플은 소수성필터 적용 전 80%(4/5)에서 소수성 필터 적용 후 100%(5/5)로 검출률이 증가하였으나, 3 Log CFU/g 접종 샘플은 소수성 필터 적용 전후 모두 100%(5/5)로 확인되었다. 이상의 결과를 통해 신선편이 양배추 내 B. cereus 검출 시 증균배양액에 소수성필터를 적용하고 multiplex PCR을 적용했을 때 신속하고 효율적인 검출이 가능할 것으로 판단된다. This study developed a rapid detection method for Bacillus cereus in fresh-cut cabbages. Fresh-cut cabbage samples were inoculated at 1-, 2- and 3-Log CFU/g, and pathogens were enriched in tryptic soy broth containing 0.15% polymyxin B at $30^{\circ}C$, $37^{\circ}C$, and $42^{\circ}C$ to determine the detection limit and appropriate enrichment temperature for multiplex PCR detection. Enriched bacterial cells in enrichment broth were collected in a hydrophobic filter prior to DNA extraction for multiplex PCR. Filters were resuspended in distilled water, and DNA was extracted from the suspension. DNA samples were further analyzed by multiplex PCR. Detection limit of multiplex PCR was 5-Log CFU/mL. B. cereus cell counts were higher (P < 0.05) at $42^{\circ}C$ than other temperatures. Detection rate of 1-, 2-, and 3-Log CFU/g inoculated samples were 60%, 80%, and 100% after enrichment respectively. However, when enriched samples were filtered with hydrophobic membrane filter, detection rates became 100%, regardless of inoculation level. Results indicate a combination of enrichment with hydrophobic filtration improves rapid detection efficiency of B. cereus in fresh-cut cabbage by multiplex PCR.

Quantitative Microbial Risk Assessment for Campylobacter jejuni in Ground Meat Products in Korea

Lee, Jeeyeon,Lee, Heeyoung,Lee, Soomin,Kim, Sejeong,Ha, Jimyeong,Choi, Yukyung,Oh, Hyemin,Kim, Yujin,Lee, Yewon,Yoon, Ki-Sun,Seo, Kunho,Yoon, Yohan Korean Society for Food Science of Animal Resource 2019 한국축산식품학회지 Vol.39 No.4

This study evaluated Campylobacter jejuni risk in ground meat products. The C. jejuni prevalence in ground meat products was investigated. To develop the predictive model, survival data of C. jejuni were collected at $4^{\circ}C-30^{\circ}C$ during storage, and the data were fitted using the Weibull model. In addition, the storage temperature and time of ground meat products were investigated during distribution. The consumption amount and frequency of ground meat products were investigated by interviewing 1,500 adults. The prevalence, temperature, time, and consumption data were analyzed by @RISK to generate probabilistic distributions. In 224 samples of ground meat products, there were no C. jejuni-contaminated samples. A scenario with a series of probabilistic distributions, a predictive model and a dose-response model was prepared to calculate the probability of illness, and it showed that the probability of foodborne illness caused by C. jejuni per person per day from ground meat products was $5.68{\times}10^{-10}$, which can be considered low risk.

The Correlation between NaCl Adaptation and Heat Sensitivity of Listeria monocytogenes, a Foodborne Pathogen through Fresh and Processed Meat

Lee, Jeeyeon,Ha, Jimyeong,Kim, Sejeong,Lee, Soomin,Lee, Heeyoung,Yoon, Yohan,Choi, Kyoung-Hee Korean Society for Food Science of Animal Resource 2016 한국축산식품학회지 Vol.36 No.4

This study examined the relationship between NaCl sensitivity and stress response of Listeria monocytogenes. Nine strains of L. monocytogenes (NCCP10805, NCCP10806, NCCP10807, NCCP10808, NCCP10809, NCCP10810, NCCP10811, NCCP10920 and NCCP 10943) were exposed to 0%, 1%, 2% and 4% NaCl, and then incubated at 60℃ for 60 min to select strains that were heat-sensitized (HS) and non-sensitized (NS) by NaCl exposure. After heat challenge, L. monocytogenes strains were categorized as HS (NCCP 10805, NCCP10806, NCCP10807, NCCP10810, NCCP10811 and NCCP10920) or NS (NCCP10808, NCCP10809 and NCCP10943). Total mRNA was extracted from a HS strain (NCCP10811) and two NS strains (NCCP10808 and NCCP10809), and then cDNA was prepared to analyze the expression of genes (inlA, inlB, opuC, betL, gbuB, osmC and ctc) that may be altered in response to NaCl stress, by qRT-PCR. The expression levels of two invasion-related genes (inlA and inlB) and two stress response genes (opuC and ctc) were increased (p<0.05) in NS strains after NaCl exposure in an NaCl concentration-dependent manner. However, only betL expression was increased (p<0.05) in the HS strains. These results indicate that the effect of NaCl on heat sensitization of L. monocytogenes is strain dependent and that opuC and ctc may prevent NS L. monocytogenes strains from being heat sensitized by NaCl. Moreover, NaCl also increases the expression of invasion-related genes (inlA and inlB).

Quantitative Microbial Risk Assessment for Campylobacter spp. on Ham in Korea

Lee, Jeeyeon,Ha, Jimyeong,Kim, Sejeong,Lee, Heeyoung,Lee, Soomin,Yoon, Yohan Korean Society for Food Science of Animal Resource 2015 한국축산식품학회지 Vol.35 No.5

The objective of this study was to evaluate the risk of illness from Campylobacter spp. on ham. To identify the hazards of Campylobacter spp. on ham, the general characteristics and microbial criteria for Campylobacter spp., and campylobacteriosis outbreaks were investigated. In the exposure assessment, the prevalence of Campylobacter spp. on ham was evaluated, and the probabilistic distributions for the temperature of ham surfaces in retail markets and home refrigerators were prepared. In addition, the raw data from the Korea National Health and Nutrition Examination Survey (KNHNES) 2012 were used to estimate the consumption amount and frequency of ham. In the hazard characterization, the Beta-Poisson model for Campylobacter spp. infection was used. For risk characterization, a simulation model was developed using the collected data, and the risk of Campylobacter spp. on ham was estimated with @RISK. The Campylobacter spp. cell counts on ham samples were below the detection limit (<0.70 Log CFU/g). The daily consumption of ham was 23.93 g per person, and the consumption frequency was 11.57%. The simulated mean value of the initial contamination level of Campylobacter spp. on ham was −3.95 Log CFU/g, and the mean value of ham for probable risk per person per day was 2.20×10⁻¹². It is considered that the risk of foodborne illness for Campylobacter spp. was low. Furthermore, these results indicate that the microbial risk assessment of Campylobacter spp. in this study should be useful in providing scientific evidence to set up the criteria of Campylobacter spp..

Comparison of Ultrasound-Guided Aspiration using Intravenous Cannulas and Conventional Needle for Patients with Periprosthetic Seroma

Jeeyeon Lee,Ho Yong Park,Wan Wook Kim,Yang Soo Lim,Ryu Kyung Lee,Jin Ah Choi,Jung Dug Yang,Jeong Woo Lee,Joon Seok Lee,Jin Hyang Jung 대한외과학회 2018 대한외과학회 학술대회 초록집 Vol.2018 No.11

Prevalence of Foodborne Pathogens on Cheeses Made from Farmstead Milk Processing Plants in Korea

( Jeeyeon Lee ),( Kyeonga Jang ),( Soomin Lee ),( Jimyeong Ha ),( Heeyoung Lee ),( Sejeong Kim ),( Yukyung Choi ),( Hyemin Oh ),( Yohan Yoon ) 한국산업식품공학회 2018 산업 식품공학 Vol.22 No.3

To solve the problem of raw milk surplus, the Korean government encouraged the farmstead milk processing industry. However, the hygiene of farmstead dairy products has not been evaluated. Therefore, the microbiological analysis of farmstead cheeses was performed in this study. Farmstead cheeses (Berg, Colby, Cottage, Gouda, Mozzarella, String, Tilsiter, and Quark) were purchased from 16 dairy farms. In qualitative analysis, the presence of foodborne pathogens (Bacillus cereus, Escherichia coli, Clostridium perfringens, Salmonella, Staphylococcus aureus, Listeria monocytogenes, and Campylobacter spp.) were examined. Also, total aerobic bacteria, Pseudomonas spp., coliform, and E. coli, and yeast/mold were enumerated. Seventeen samples (37.8%) of 45 farmstead cheeses were contaminated with B. cereus and the highest detection rate was observed in String cheese. Two samples (4.4%) were E. coli positive and seven samples (15.6%) were S. aureus positive. Four other foodborne pathogens were not detected in all farmstead cheeses. Also, the mean levels of total aerobic bacteria, coliform, E. coli, and yeast/mold were 4.3 Log CFU/g, 1.4 Log CFU/g, 1.1 Log CFU/g, and 3.8 Log CFU/g, respectively. These results indicate that the food safety of farmstead cheese is extremely poor and, thus, the hygiene management of farmstead cheese should be improved to provide safe farmstead cheese to consumers.

Mathematical Model for Predicting the Growth Probability of Staphylococcus aureus in Combinations of NaCl and NaNO₂ under Aerobic or Evacuated Storage Conditions

Lee, Jeeyeon,Gwak, Eunji,Ha, Jimyeong,Kim, Sejeong,Lee, Soomin,Lee, Heeyoung,Oh, Mi-Hwa,Park, Beom-Young,Oh, Nam Su,Choi, Kyoung-Hee,Yoon, Yohan Korean Society for Food Science of Animal Resource 2016 한국축산식품학회지 Vol.36 No.6

The objective of this study was to describe the growth patterns of Staphylococcus aureus in combinations of NaCl and $NaNO_2$, using a probabilistic model. A mixture of S. aureus strains (NCCP10826, ATCC13565, ATCC14458, ATCC23235, and ATCC27664) was inoculated into nutrient broth plus NaCl (0, 0.25, 0.5, 0.75, 1, 1.25, 1.5, and 1.75%) and $NaNO_2$ (0, 15, 30, 45, 60, 75, 90, 105, and 120 ppm). The samples were then incubated at 4, 7, 10, 12 and $15^{\circ}C$ for up to 60 d under aerobic or vacuum conditions. Growth responses [growth (1) or no growth (0)] were then determined every 24 h by turbidity, and analyzed to select significant parameters (p<0.05) by a stepwise selection method, resulting in a probabilistic model. The developed models were then validated with observed growth responses. S. aureus growth was observed only under aerobic storage at $10-15^{\circ}C$. At $10-15^{\circ}C$, NaCl and $NaNO_2$ did not inhibit S. aureus growth at less than 1.25% NaCl. Concentration dependency was observed for NaCl at more than 1.25%, but not for $NaNO_2$. The concordance percentage between observed and predicted growth data was approximately 93.86%. This result indicates that S. aureus growth can be inhibited in vacuum packaging and even aerobic storage below $10^{\circ}C$. Furthermore, $NaNO_2$ does not effectively inhibit S. aureus growth.

The Correlation between NaCl Adaptation and Heat Sensitivity of Listeria monocytogenes, a Foodborne Pathogen through Fresh and Processed Meat

Jeeyeon Lee,Jimyeong Ha,Sejeong Kim,Soomin Lee,Heeyoung Lee,Yohan Yoon,Kyoung-hee Choi 한국축산식품학회 2016 한국축산식품학회지 Vol.36 No.4

This study examined the relationship between NaCl sensitivity and stress response of Listeria monocytogenes. Nine strains of L. monocytogenes (NCCP10805, NCCP10806, NCCP10807, NCCP10808, NCCP10809, NCCP10810, NCCP10811, NCCP10920 and NCCP 10943) were exposed to 0%, 1%, 2% and 4% NaCl, and then incubated at 60°C for 60 min to select strains that were heat-sensitized (HS) and non-sensitized (NS) by NaCl exposure. After heat challenge, L. monocytogenes strains were categorized as HS (NCCP 10805, NCCP10806, NCCP10807, NCCP10810, NCCP10811 and NCCP10920) or NS (NCCP10808, NCCP10809 and NCCP10943). Total mRNA was extracted from a HS strain (NCCP10811) and two NS strains (NCCP10808 and NCCP10809), and then cDNA was prepared to analyze the expression of genes (inlA, inlB, opuC, betL, gbuB, osmC and ctc) that may be altered in response to NaCl stress, by qRT-PCR. The expression levels of two invasion-related genes (inlA and inlB) and two stress response genes (opuC and ctc) were increased (p<0.05) in NS strains after NaCl exposure in an NaCl concentration-dependent manner. However, only betL expression was increased (p<0.05) in the HS strains. These results indicate that the effect of NaCl on heat sensitization of L. monocytogenes is strain dependent and that opuC and ctc may prevent NS L. monocytogenes strains from being heat sensitized by NaCl. Moreover, NaCl also increases the expression of invasion-related genes (inlA and inlB).

Development of User-Friendly Modeling Software and Its Application in Processed Meat Products

Lee, Heeyoung,Lee, Panho,Lee, Soomin,Kim, Sejeong,Lee, Jeeyeon,Ha, Jimyeong,Choi, Yukyung,Oh, Hyemin,Yoon, Yohan The Korean Society of Food Hygiene and Safety 2018 한국식품위생안전성학회지 Vol.33 No.3

본 연구에서는 육제품의 다양한 조건(포장, 저장온도, 염농도, 아질산염농도)에서의 식중독세균의 생장을 예측하는소프트웨어를 예측미생물학에 대한 지식이 부족한 비전문가도 손쉽게 이용할 수 있도록 개발하였다. 육제품에서의 식중독세균예측소프트웨어(FAME: Foodborne bacteria Animal product Modeling Equipment)는 Javascript와 HTML을 이용하여 개발하였으며, 육제품에 대한 카이네틱모델과 확률모델을 포함하고있다. FAME에서는 검증(validation) 기능을 포함하고 있으며, FAME에 탑재 되어있는 예측모델의 수식을 자유롭게 수정할 수 있도록 고안 하였다. FAME에는 포장조건, 온도, 염농도, 아질산염농도 조합에 따라 실험한 데이터를 카이네틱모델(5,400 데이터)과 확률모델(345,600 데이터)에 탑재하였다. 사용자가 FAME을 이용하여 육제품의 제조 조건을 소프트웨어에 입력하면, 시간에 따른 식중독세균의 생장패턴과 생장확률이 즉시 계산 되어진다. 따라서 예측 미생물학에 대한 전문 지식이 없는 비전문가라고 하더라도 FAME을 이용하여 직접 실험을 하지 않고도 육제품에서의 식중독세균의 생장을 쉽고 빠르게 예측할 수 있어, 육가공분야에서 매우 유용하게 사용되어 질 수 있을 것으로 판단된다. The objective of this study was to develop software to predict the kinetic behavior and the probability of foodborne bacterial growth on processed meat products. It is designed for rapid application by non-specialists in predictive microbiology. The software, named Foodborne bacteria Animal product Modeling Equipment (FAME), was developed using Javascript and HTML. FAME consists of a kinetic model and a probabilistic model, and it can be used to predict bacterial growth pattern and probability. In addition, validation and editing of model equation are available in FAME. The data used by the software were constructed with 5,400 frankfurter samples for the kinetic model and 345,600 samples for the probabilistic model using a variety of combinations including atmospheric conditions, temperature, NaCl concentrations and $NaNO_2$ concentrations. Using FAME, users can select the concentrations of NaCl and $NaNO_2$ meat products as well as storage conditions (atmosphere and temperature). The software displays bacterial growth patterns and growth probabilities, which facilitate the determination of optimal safety conditions for meat products. FAME is useful in predicting bacterial kinetic behavior and growth probability, especially for quick application, and is designed for use by non-specialists in predictive microbiology.