• Journal of Korean Physical Therapy Science
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• v.9 no.1
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• pp.123-128
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• 2002

Objectives: The objective of this study was to investigate factor analysis of low back pain patients. Methods: The data were collected from hospital located in Daegu. Observation was made on 40 low back pain patients and factor analysis study was also performed in terms of their abnormal physical findings. Results: The low back pain patients occupied 20% of all clinical patients in male group and 20% in female group. The occurrence of acute low back pain in the first factor tended to be higher among in male group than among in female group. While it was significantly higher muscle weakness of the back in female group. The most prevailing abnormal finding among low back pain patients in the first factor were tender point on the back, While it was significantly lower Decreased tendon reflex in both sexes Conclusions: The factor pattern of abnormal physical findings in low back pain patients was much different between male and female patients, suggesting the different pattern of etiology. Although low back pain is one of the most common symptoms causing limitation activity, as yet there is no known specific effective treatment.

• Journal of the Korea Society of Computer and Information
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• v.22 no.5
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• pp.65-72
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• 2017

Premature Ventricular Contraction(PVC) arrhythmia is most common abnormal-heart rhythm that may increase mortal risk of a cardiac patient. Thus, it is very important issue to identify the specular portraits of PVC pattern especially from the patient. In this paper, we propose a new method to extract the characteristics of PVC pattern by applying K-means machine learning algorithm on Heart Rate Variability depicted in Poinecare plot. For the quantitative analysis to distinguish the trend of cluster patterns between normal sinus rhythm and PVC beat, the Euclidean distance measure was sought between the clusters. Experimental simulations on MIT-BIH arrhythmia database draw the fact that the distance measure on the cluster is valid for differentiating the pattern-traits of PVC beats. Therefore, we proposed a method that can offer the simple remedy to identify the attributes of PVC beats in terms of K-means clusters especially in the long-period Electrocardiogram(ECG).

• Food Science and Biotechnology
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• v.15 no.3
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• pp.339-340
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• 2006

The pattern of drug resistance and incidence of R-factors were studied in Shigella sonnei as food-borne pathogen strains isolated from chicken meat in Iran. In this study we examined for transferring R-factors of S. sonnei to sensitive Escherichia coli $k_{12}{\bar{F}}(\lambda)$. The results showed that 19 out of 57 strains (33.3%) were resistant to one or more drugs and multiple drug resistance was more common than single drug resistance. The most predominant pattern of resistance observed was Tetracycline (Tc), Chloramphenicol (Cm), Streptomycin (Sm), and Sulfonamide (Su). 100% of the strains from the Caspian littoral transferred at least a part of their resistance pattern to sensitive E.coli $k_{12}{\bar{F}}(\lambda)$.

• Communications of the Korean Institute of Information Scientists and Engineers
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• v.18 no.8
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• pp.78-89
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• 2000

Today's computers are built up from a minimal set of standard pattern recognition operations. Logic gates, such as NAND, are common examples. Biomolecular materials offer an alternative approach, both in terms of variety and context sensitivity. Enzymes, the basic switching elements in biological cells, are notable for their ability to discriminate specific molecules in a complex background and to do so in a manner that is sensitive to particular milieu features and indifferent to others, The enzyme, in effect, is a powerful context sensitivity pattern processor that in a rough way can be analogized to a neuron whose input-output behavior is controlled by enzymatic dynamics.

• Tuberculosis and Respiratory Diseases
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• v.84 no.4
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• pp.255-262
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• 2021

Microscopic polyangiitis (MPA) is an antineutrophil cytoplasmic antibody (ANCA)-associated necrotizing vasculitis, which mainly affects small vessels in various organs, especially the lungs. The two key pulmonary manifestations, interstitial lung disease (ILD) and diffuse alveolar hemorrhage (DAH), increase the morbidity and death rate of patients with MPA. ILD is more common in MPA than in other ANCA-associated vasculitis subsets and is primarily associated with myeloperoxidase-ANCA. Unlike alveolar hemorrhage due to pulmonary capillaritis, ILD can initially manifest as isolated pulmonary fibrosis. Of note, its most frequent radiographic pattern is the usual interstitial pneumonia pattern, similar to the characteristic pattern seen in idiopathic pulmonary fibrosis. In this review we present the pathogenesis, clinical manifestations, and radiographic and histopathologic features of ILD and DAH in MPA. We also briefly summarize the outcome and therapeutic options for the two conditions.

• Fashion & Textile Research Journal
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• v.11 no.6
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• pp.925-933
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• 2009

This research was carried out by analyzing a form and composition in baseball cap targeting 97 marketing products, and we have typified it by frequency analysis. We have carried out comparing and wearing test between comparative pattern and the most preferred three products of sports brand, fashion brand A, and fashion brand B (flex fit). And also, in order to provide basic indices for developing new pattern, we have carried out analysis of variance. 1. As a result of analyzing a form in baseball cap, the most general pattern type for crown is central cutting with six pieces. In a cap, a basic type with no decoration was the most general. In the size adjustment and decoration, belt type and embroidery type (front or side embroidery of the crown) was the most common, respectively. 2. As a result of comparing and analyzing six-piece typed crown pattern, the comparative pattern was the same and symmetric in size and form of three patterns in front, side, and back. However, the patterns of marketing products of three brands were different in size and form of three patterns in front, side, and back. The patterns of sports brand were the largest in crown height and width, thus it was good at providing activity and motion. The patterns of fashion brand A were the shortest in the crown length and well-curved in front pattern, so it was well-matched with head shape. The patterns of fashion brand B were well-described back side of head since its convex and long patterns in the back head. 3. As a result of wearing test by five-point Likert scale among brand, pattern of fashion brand B outperformed the others since it was well-matched with head shape. In the cap, pattern of fashion brand A is the most preferred which was 7.5 cm of length and 18cm of width.

• Korean Journal of Veterinary Research
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• v.50 no.3
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• pp.239-246
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• 2010

Among 203 avian pathogenic Escherichia coli (APEC) isolated from poultry with colibacillosis in korea, 14 isolates were selected from total 68 isolates transferred R plasmid and classified into 5 groups on the basis of antimicrobial minimal inhibitory concentration (MIC) pattern, farm source and O serotype. An association between clonal origin and R plasmid of them was investigated by R plasmid profile, restriction endonuclease analysis and pulsed-field gel electrophoresis (PFGE). The strains that showed the same or very similar antimicrobial MIC pattern, but different farm source and O serotype, revealed different PFGE pattern, which seemed to be different clonal origin. And the strains that showed the same MIC pattern and O serotype, revealed different PFGE pattern, seemed to be originated from different clone. Also the strains showing the same MIC pattern and farm source, but different O serotype, revealed to be different clonal origin. The strains that showed the same or similar MIC pattern, farm source, and O serotype, revealed identical or similar PFGE pattern, which seemed to belong to be one clone. Meanwhile, horizontal transfer of R plasmid seems to be common in APEC with regardless of O serotype and clone of the strains. These results indicate that rapid and accurate epidemiological survey of APEC can be possible by the combination of O serotyping, plasmid profiling and PFGE analysis following the classification of them into groups of antimicrobial drug resistance pattern.

• Biomedical Science Letters
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• v.19 no.3
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• pp.245-253
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• 2013

To provide reference data or guideline for empirical treatment of bloodstream infection, we studied a change pattern in causative microorganisms and antimicrobial susceptibility in a general hospital at Gyeonggi province during five years. We retrospectively reviewed the frequency of causative microorganisms and antimicrobial susceptibility results of 5,782 microorganisms isolated from blood culture in a general hospital during the period from January 2008 to December 2012. The most common pathogens were Escherichia coli (14.7%), Staphylococcus aureus (7.5%), Streptococcus viridans group (4.9%), and Klebsiella pneumoniae (4.1%). The multiple microorganisms were isolated in 4.3% of bloodstream infection patients. The average contamination rate of blood culture during five years was 3.0%. Methicillin-resistant S. aureus (MRSA), vancomycin-resistant Enterococcus faecium (VRE), and penicillin-resistant Streptococcus pneumoniae were isolated at 62%, 27% and 11%, respectively. Cefotaxime-resistant E. coli and K. pneumoniae was 20% and 18%, respectively. Imipenem-resistant Pseudomonas aeruginosa (IRPA) and Acinetobacter baumannii (IRAB) was 25% and 66%, respectively. E. coli and S. aureus were most common pathogens isolated from blood culture for five years. The increase of multidrug-resistant microorganisms, such as MRSA, VRE, ESBL, IRPA and IRAB, requires more strict control of antibiotics and causes the need of the more updated guideline for the treatment of blood stream infection.

• Speech Sciences
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• v.15 no.2
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• pp.21-30
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• 2008

The current study investigated distributional properties of the Korean Accentual Phrase and their implication to word segmentation. The properties examined were the frequency of various AP tonal patterns, the types of tonal patterns that are imposed upon content words, and the average number and temporal location of content words within the AP. A total of 414 sentences from the Read speech corpus and the Radio corpus were used for the data analysis. The results showed that the 84% of the APs contained one content word, and that almost 90% of the content words are located in AP-initial position. When the AP-initial onset was not an aspirated or tense consonant, the most common AP patterns were LH, LHH, and LHLH (78%), and 88% of the multisyllabic content words start with a rising tone in AP-initial position. When the AP-initial onset was an aspirated or tense consonant, the most common AP patterns were HH, HHLH, and HHL (72%), and 74% of the multisyllabic content words start with a level H tone in AP-initial position. The data further showed that 84.1% of APs end with the final H tone. The findings provide valuable information about the prosodic pattern and structure of Korean APs, and account for the results of a previous study which showed that Korean listeners are sensitive to AP-initial rising and AP-final high tones (Kim, 2007). This is in line with other cross-linguistic research which has revealed the correlation between prosodic probability and speech processing strategy.

• Journal of Institute of Control, Robotics and Systems
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• v.19 no.11
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• pp.1022-1028
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• 2013

It is well knowns that based on the CSP (Common Spatial Pattern) algorithm, the linear projection of an EEG (Electroencephalography) signal can be made to spaces that optimize the discriminant between two patterns. Sharing disadvantages from linear time invariant systems, CSP suffers from the non-stationary nature of EEGs causing the performance of the classification in a BCI (Brain-Computer Interface) system to drop significantly when comparing the training data and test data. The author has suggested a simple idea based on the parallel model of CSP filters to improve the performance of BCI systems. The model was tested with a simple CSP algorithm (without any elaborate regularizing methods) and a perceptron learning algorithm as a classifier to determine the improvement of the system. The simulation showed that the parallel model could improve classification performance by over 10% compared to conventional CSP methods.