• Clinical and Experimental Reproductive Medicine
• /
• v.27 no.3
• /
• pp.235-243
• /
• 2000

Objective: Our present studies were conducted to examine more effective isolating method of preantral follicles from mouse ovaries. Methods: ICR mice (3-6 weeks old) were sacrificed through cervical dislocation and their ovaries were removed and put into watch glasses containing Hams F-10 supplemented with 10% fetal bovine serum (FBS). Preantral follicles were isolated by three different methods; 1) enzymatical method and 2) mincing method, and 3) scraping method. Enzymatical method was carried out as following. Ovaries were bisected with a pair of fine 30G needles. Bisected ovaries were incubated at $37^{\circ}C$ and 5% $CO_2$ incubator in 2-well dish containing Hams F-10 supplemented with collagenase 600 lU/ml and DNAse 20 lU/ml. After 20 min., follicles were isolated by repeated pipetting. Isolated preantral follicles were collected, and the remnant of tissues was placed in incubator and previous procedure was repeated. Mincing method was carried out with a pair of fine 30G needles attached to 1 ml syringes and minced ovary. Scraping method was carried out with a pair of fine 30G needles and scratched to surface of ovary. The differences between isolating methods were analyzed using Student's t-test and Chi-square. Results were considered statistically significant when ${\rho}$ value was less than 0.05. Results: In handling time, mincing or scraping method ($28{\pm}3.42$ min or $16{\pm}1.58$ min) were significantly (p<0.00001) shorter than enzymatical method ($72{\pm}1.69$ min), and scraping method was significantly (p<0.01) shorter than mincing method. Total number of isolated follicles was significantly (p<0.0001) higher in enzymatical method ($49.8{\pm}3.91$) than in mincing or scraping method ($25.3{\pm}2.33$ or $20.5{\pm}1.75$). Isolated follicles in ${\leq}$90${\mu}m$ were significantly (p<0.005) higher in enzymatical method ($15{\pm}1.71$) than in mincing or scraping method ($7.8{\pm}0.98$ or $8.1{\pm}1.31$). In 91~130 ${\mu}m$, isolated follicles were significantly (p<0.0005) higher in enzymatical method ($33{\pm}3.27$) than in mincing or scraping method ($16.3{\pm}1.82$ or $10.7{\pm}1.38$). In ${\geq}$ 131 ${\mu}m$, isolated follicles were not significantly differences between all groups. In equal sizes, the rate of isolated follicles in ${\leq}$ 90 ${\mu}m$ was highest in scraping method (39.6% vs. enzymatical method: 30.1%, p<0.05; mincing method: 30.9%, p=0.11719, NS). Rate of follicles in $91{\sim}130$ ${\mu}m$ was significantly (p<0.05) lower in scraping method (52.7%) than in enzymatical or mincing method (66.3% or 64.5%). Rate of follicles in ${\geq}$131 ${\mu}m$ was highest in scraping method (8.3% vs. enzymatical or scraping method: 3.6%, p<0.05 or 4.6%, p=0.19053, NS). Conclusions: This study suggests that scraping method is simple and useful for isolation of preantral follicles, because this method reduced handling time and recovered enough follicles. The recovered rate of isolated follicles in diameter of 91 ~ 130 ${\mu}m$ was highest in all methods.

• Journal of Microbiology and Biotechnology
• /
• v.27 no.8
• /
• pp.1441-1448
• /
• 2017

Antibacterial compounds are widely used in the treatment of human and animal diseases. The overuse of antibiotics has led to a rapid rise in the prevalence of drug-resistant bacteria, making the development of new antibacterial compounds essential. This study focused on developing a fast and easy method for identifying marine bacteria that produce antibiotic compounds. Eight randomly selected marine target bacterial species (Agrococcus terreus, Bacillus algicola, Mesoflavibacter zeaxanthinifaciens, Pseudoalteromonas flavipulchra, P. peptidolytica, P. piscicida, P. rubra, and Zunongwangia atlantica) were tested for production of antibacterial compounds against four strains of test bacteria (B. cereus, B. subtilis, Halomonas smyrnensis, and Vibrio alginolyticus). Colony picking was used as the primary screening method. Clear zones were observed around colonies of P. flavipulchra, P. peptidolytica, P. piscicida, and P. rubra tested against B. cereus, B. subtilis, and H. smyrnensis. The efficiency of colony scraping and broth culture methods for antimicrobial compound extraction was also compared using a disk diffusion assay. P. peptidolytica, P. piscicida, and P. rubra showed antagonistic activity against H. smyrnensis, B. cereus, and B. subtilis, respectively, only in the colony scraping method. Our results show that colony picking and colony scraping are effective, quick, and easy methods of screening for antibacterial compound-producing bacteria.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2019.05a
• /
• pp.271-274
• /
• 2019

In this paper, we proposed a detailed address acquisition scheme for automatically collecting data of a web page in a frame that is difficult to access by a general web access method. Using the Python language and the Beautiful Soup library, which can utilize the proposed address resolution technique and the HTML selector, we were able to automatically collect all the bulletin board text data written in several pages. By using the proposed method, we can collect large amount of data automatically by Python web scraping program for web pages of any form of address, and we expect that it can be used for big data analysis.

• Journal of Korea Technical Association of The Pulp and Paper Industry
• /
• v.45 no.1
• /
• pp.75-82
• /
• 2013

The traditional Hanji-making was confronted with lots of industrial disadvantages and economic problems, due to the original hand-made process. Recently, the studies on the automation of overall Hanji manufacturing process is carried out by applying the commercial chemical pulping method in order to expand industrial application or efficiency of non-wood fibrous materials. However, the application of commercial pulping methods to the bast tissues of paper mulberry leads to the chemical and mechanical deterioration of cellulosic fibers. In this study, the optimal cooking method using the bast parts of paper mulberry produced by an auto-scraping device was applied to minimize the damage of fiber strength for the paper yarn manufacture. The pre-steaming treatment and alkaline pulping systems were evaluated in removal efficiency of lignin and pectin materials within the bast tissue of paper mulberry. With the application of pre-steaming treatment and 2 stage pulping system using potassium carbonate and then sodium hydroxide, kappa values were decreased two times more in lignin removal than the single stage of pulping method. It was also identified from SEM images and ATR-FTIR spectra that the pectin components within cellular structure of bast tissue were easily removed and the debarked bast parts by a auto-scraping device were easily defiberized by 2-stage pulping sequence using potassium carbonate/sodium hydroxide pulping system.

• Journal of the Korean Society for information Management
• /
• v.29 no.2
• /
• pp.7-25
• /
• 2012

The proliferating use of e-journals has led increasing interest in collecting and analyzing usage statistic information. However, the existing manual method and simple journal usage reports provided by publishers hinder the effective collection of large-scale usage statistics and the comprehensive/in-depth analysis on them. Thus we have proposed a hybrid automatic method of collecting e-journal usage statistics based on screen scraping and SUSHI protocol. In addition, the generation method of summary statistics presented in graphs, charts and tables has been suggested in this study. By utilizing the suggested system and analysis data, librarians can compose various reports on budget or operation of the libraries.

• Journal of Oral Medicine and Pain
• /
• v.33 no.2
• /
• pp.147-158
• /
• 2008

In our study, we investigated self-evaluation of tongue coating, self-rating intensity of oral malodor, habit related to tooth brushing and tongue scraping. Investigation was carried out on 714 Korean college students by method of self-reporting to prepared questionnaire. The obtained data were processed and analyzed with SAS program. The results of this study are as follows. 1. Students who have frequently experienced tongue coating have tendency to have stronger oral malodor than the other students. 2. The self-reporting prevalence rate of oral malodor is 81.1%. 3. Students who brush teeth shortly and irregularly have tendency to have stronger oral malodor than the other students. 4. Students with strong oral malodor have tendency to neglect scraping tongue. 5. Students with low index of tooth brushing or low index of oral hygiene controllability have tendency to have stronger oral malodor than the other students. 6. Mean scales of tooth brushing index(p<.0001), tongue scraping index(p=0.0439) and oral hygiene controllability index(p<.0001) among students in the department of Dental Hygiene and Dental Technology are significantly higher than those among general students.

• Korean Chemical Engineering Research
• /
• v.57 no.6
• /
• pp.781-789
• /
• 2019

There are frequent accidents by chemicals during laboratory experiments and pilot plant and reactor operations. It is necessary to find and comprehend relevant information to prevent accidents before starting synthesis experiments. In the process design stage, reaction information is also necessary to prevent runaway reactions. Although there are various sources available for synthesis information, including the Internet, it takes long time to search and is difficult to choose the right path because the substances used in each synthesis method are different. In order to solve these problems, we propose an intelligent synthetic path search system to help researchers shorten the search time for synthetic paths and identify hazardous intermediates that may exist on paths. The system proposed in this study automatically updates the database by collecting information existing on the Internet through Web scraping and crawling using Selenium, a Python package. Based on the depth-first search, the path search performs searches based on the target substance, distinguishes hazardous chemical grades and yields, etc., and suggests all synthetic paths within a defined limit of path steps. For the benefit of each research institution, researchers can register their private data and expand the database according to the format type. The system is being released as open source for free use. The system is expected to find a safer way and help prevent accidents by supporting researchers referring to the suggested paths.

• Korean Journal of Veterinary Service
• /
• v.32 no.4
• /
• pp.361-368
• /
• 2009

Porcine proliferative enteritis (PPE) is a transmissible gastroenteric disease caused by Lawsonia intracellularis. Clinically, PPE causes hemorrhagic diarrhea and sometimes death in growing pigs, but when the disease progresses to a chronic phase, the infected pig no longer displays significant symptoms. The purpose of the present studies were carried out to determine L. intracellularis in the pig farms and slaughter house, in Gyeongnam area. A survey of proliferative enteritis in pig was conducted using polymerase chain reaction (PCR) testing method, total 1,495 samples. PCR products showed a specific band at the 210bp, 329bp in the specimens of feces and mucosal scraping. Of 420 fecal specimens, 113 (26.9%) were identified as positive to PPE. Of 1,075 mucosal scraping specimens, 109 (10.1%) were identified as positive to PPE. Of total 1,495 specimens, 222 (14.8%) were identified as positive to PPE.

• Journal of Korean Ophthalmic Optics Society
• /
• v.7 no.1
• /
• pp.35-38
• /
• 2002

Ferrite thin film with glass substrate was prepared by ferrite plating method in order to make sunglass which cut off ultraviolet and electromagnetic field. It has single phase of polycrystalline spinel structure and has gloss like as mirror and has hardness without scratch by scraping with nail. The transmittance of ferrite thin film is lowered near 400nm manifestly, which shows that the ferrite thin film was cut off ultraviolet successfully. Therefore, the sunglass with ferrite plating is use of cut of ultraviolet and electromagnetic field.

• Korean Medical Education Review
• /
• v.19 no.3
• /
• pp.158-168
• /
• 2017

There is a more urgent call for educational methods of machine learning in medical education, and therefore, new approaches of teaching and researching machine learning in medicine are needed. This paper presents a case using machine learning through text analysis. Topic modeling of news articles with the keyword 'asbestos' were examined. Two hypotheses were tested using this method, and the process of machine learning of texts is illustrated through this example. Using an automated text analysis method, all the news articles published from January 1, 1990 to November 15, 2016 in South Korea which included 'asbestos' in the title and the body were collected by web scraping. Differences in topics were analyzed by structured topic modelling (STM) and compared by press companies and periods. More articles were found in liberal media outlets. Differences were found in the number and types of topics in the articles according to the partisanship and period. STM showed that the conservative press views asbestos as a personal problem, while the progressive press views asbestos as a social problem. A divergence in the perspective for emphasizing the issues of asbestos between the conservative press and progressive press was also found. Social perspective influences the main topics of news stories. Thus, the patients' uneasiness and pain are not presented by both sources of media. In addition, topics differ between news media sources based on partisanship, and therefore cause divergence in readers' framing. The method of text analysis and its strengths and weaknesses are explained, and an application for the teaching and researching of machine learning in medical education using the methodology of text analysis is considered. An educational method of machine learning in medical education is urgent for future generations.