• Journal of Trauma and Injury
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• v.25 no.4
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• pp.241-246
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• 2012

Purpose: The objective of this study was to investigate the appropriateness of the cross table lateral cervical X-ray used in the emergency department for severely traumatized Korean patients. Methods: Patients visiting our institution from May 2011 to May 2012, who had injury severity score (ISS) > 15 and who received a cervical X-ray in the emergency department, were included in this study. Data including demographics, ISS score, GCS score, and place where the x-ray was taken were collected to evaluate their relationship with appropriate coverage of the cervical X-ray. The appropriateness of a cervical cross lateral view X-ray was evaluated using exposure of the basion, and the opisthion, as well as the distal level of exposure. Results: Fifty-two patients were included in this study. The identification rate of the basion was 79.2%, and the identification rate of the opisthion was 88.7%. Complete exposure of C7/T1 was accomplished in 3.8% of the patients. The ISS was higher for X-ray taken in the trauma bay, but the range of exposure showed no difference between the places where the X-rays taken. Patients who had exposure of C 5/6 or more had lower body weight and body mass index (BMI) compared with unexposed patients. Conclusion: In severely traumatized Korean patients, the adequacy of the cross table lateral cervical X-ray was inappropriate in most cases. No difference was observed in the exposure range between the places where the X-rays were taken, and patients with less exposure showed higher body weight and higher BMI.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.3
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• pp.561-566
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• 2011

In EPCglobal Class-1 Gen-2 RFID system, a slot-count selection algorithm has been proposed to determine the slot-count size depending on the status of reply slot. In the slot-count selection algorithm of Gen-2, the slot-count value is increased or decreased by the weight C, which is identical and independent of the slot status. It has an advantage that the algorithm is simple, but it is difficult to maintain an optimal slot-count size. Therefore, in this paper, we propose an adaptive slot-count selection algorithm, which applies the parameter C differently based on the result of tag replies. Through simulations, it is demonstrated that the collision rate for the proposed scheme is about 42% and 65% lower than the schemes proposed by Wang and Gen-2. Therefore, the adaptive slot-count selection algorithm achieves faster tag identification time compared with the existing algorithms due to the low collision rate.

• Genomics & Informatics
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• v.9 no.2
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• pp.69-73
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• 2011

The use of genomic information in genomic selection programs for dairy and beef cattle breeds has become a reality in recent years. In this investigation, we analyzed single-nucleotide polymorphisms (SNPs) for Hanwoo (n=50) and Holstein (n=50) breeds using the Illumina Bovine SNP50 BeadChip to facilitate genomic selection and utilization of the Hanwoo breed in Korea. Analysis of the entire genomes showed different spectra of SNP frequencies for Hanwoo and Holstein cattle. The study revealed a highly significant (p<0.001) difference between Hanwoo and Holstein cattle in minor allele frequency (MAF). The average MAFs were $0.19{\pm}0.16$ and $0.22{\pm}0.16$ for Hanwoo and Holstein, respectively. From the total of 52,337 SNPs that were successfully identified, about 72% and 79% were polymorphic in Hanwoos and Holsteins, respectively. Polymorphic and fixed SNPs were not distributed uniformly across the chromosomes within breeds or between the two breeds. The number of fixed SNPs on all chromosomes was higher in Hanwoo cattle, reflecting the genetic uniqueness of the Hanwoo breed. In general, the rate of polymorphisms detected in these two breeds suggests that the SNPs can be used for different applications, such as whole-genome association and comparative genetic studies, and are a helpful tool in developing breed identification genetic markers.

• The KIPS Transactions:PartB
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• v.15B no.3
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• pp.211-218
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• 2008

In this paper, we proposed a new image summarization algorithm designed for automatically summarizing user's snapshot photos taken in a virtual environment based on user's context information and educational contents, and then presenting a summarized photos shortly after user's virtual reality experience. While other image summarization algorithms used date, location, and keyword to effectively summarize a large amount of photos, this algorithm is intended to improve users' memory retention by recalling their interests and important educational contents. This paper first describes some criteria of extracting the meaningful images to improve learning effects and the identification rate calculations, followed by the system architecture that integrates the virtual environment and the viewer interface. It will also discuss a user study to model the algorithm's optimal identification rate and then future research directions.

• The Plant Pathology Journal
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• v.35 no.4
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• pp.321-329
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• 2019

Ascochyta blight caused by Ascochyta rabiei (Pass.) Lab. (Telomorph: Didymella rabiei) (Kov.) is one of the most important fungal diseases in chickpea worldwide. Knowledge about pathogen aggressiveness and identification resistance sources to different pathotypes is very useful for proper decisions in breeding programs. In this study, virulence of 32 A. rabiei isolates from different part of Iran were analyzed on seven chickpea differentials and grouped into six races based on 0-9 rating scale and susceptibility/resistant pattern of chickpea differentials. The least and most frequent races were race V and race I, respectively. Race V and VI showed highly virulence on most of differential, while race I showed least aggressiveness. Resistance pattern of 165 chickpea genotypes also were tested against six different A. rabiei races. ANOVA analysis showed high significant difference for isolate, chickpea genotypes and their interactions. Overall $chickpea{\times}isolate$ (race) interactions, 259 resistance responses (disease severity ${\leq}4$) were identified. Resistance spectra of chickpea genotypes showed more resistance rate to race I (49.70%) and race III (35.15%), while there were no resistance genotypes to race VI. Cluster analysis based on disease severity rate, grouped chickpea genotypes into four distinct clusters. Interactions between isolates or races used in this study, showed the lack of a genotype with complete resistance. Our finding for virulence pattern of A. rabiei and newly identified resistance sources could be considerably important for integration of ascochyta blight resistance genes into chickpea breeding programs and proper decision in future for germplasm conservation and diseases management.

• Journal of the Korean Society for Library and Information Science
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• v.55 no.1
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• pp.493-519
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• 2021

The purpose of this study is to propose a plan to implement the comprehensive linking system centered on identifiers in order to provide seamless academic information services to researchers. To achieve this goal, interviews were conducted with 17 researchers from five centers and one secretariat belonging to KISTI. The contents of the interview are about the establishment and management status of the identifier of the academic information service DB. As a result of the interview, it was found that the identification rate for identifiers such as KOI was high in the case of domestic articles DB, but the identification rate for global identifiers such as ORCID was low in the case of foreign articles DB except for DOI. To solve this problem, this study proposes the council for joint use of a comprehensive linking system to build the comprehensive linking system model centered on identifiers. The joint use council will be organized around domestic academic information distribution institutions, and the council is expected to discover and implement new services through ID linkage by collecting foreign identifiers.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2020.11a
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• pp.54-55
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• 2020

In 4th Industrial Revolution, technologies such as artificial intelligence, Internet of Things, and Big data are closely related to the maritime industry, which led to the birth of autonomous vessels. Due to the technical characteristics of the current vessel, the speed cannot be suddenly lowered, so complex communication such as the help of a tug boat, boarding of a pilot, and control of the vessel at the onshore control center is required to berth at the port. In this study, clustering analysis was used to resolve how to establish control criteria for vessels to enter port when autonomous vessels are operating. K-Means clustering was used to quantitatively stage the arrival pattern based on the accumulated AIS(Automatic Identification System) data of the incoming vessel, and the arrival phase using SOG(Speed over Ground), COG(Course over Ground), and ROT(Rate of Turn) Was divided into six phase.

• Korean Journal of Plant Resources
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• v.37 no.1
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• pp.11-21
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• 2024

In this study, as a result of exploring the physiological activity of plants useful for agriculture on various plant resources, it was possible to confirm an activity similar to auxin that promotes plant rooting in methanol extract of Cinnamon Bark (cortex of Cinnamomum cassia J.Presl). After separating the active body by applying column chromatography and HPLC to the CHCl3 active fraction obtained by solvent extraction for each polarity from the methanol extract of cinnamon bark, cinnamyl alcohol was identified through GC/MS analysis. By bioassay using cinnamyl alcohol standard and the active fraction separated and purified from the methanol extract of cinnamon bark, the rooting rate of mung bean seedlings of the cinnamyl alcohol standard was 290% compared with the untreated control at 134.2 ㎍/mL concentration, and the adventitious root formation activity similar to the rooting rate (268.6%; 100 ㎍/mL) of the active fraction was shown. In conclusion, it is believed that cinnamyl alcohol contained in methanol extract of Cinnamon Bark is the main compound that induces adventitious root formation in mung bean.

• The Journal of Internal Korean Medicine
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• v.41 no.4
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• pp.583-598
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• 2020

Objective: The aims of this study were to analyze deficiency-excess pattern identification and to compare the blood cytokines in patients with asthma. Methods: A total of 112 patients with asthma who met the inclusion and exclusion criteria were divided into deficiency syndrome and excess syndrome groups. Blood was examined for eotaxin, interleukin (IL)-1β, IL-4, IL-5, IL-6, IL-13, and tumor necrosis factor (TNF)-α. The Quality of Life Questionnaire for Adult Korean Asthmatics (QLQAKA), a Visual Analogue Scale (VAS), and heart rate variability (HRV) tests were administered to both groups. Results: Pattern identification divided the 112 patients into two categories: a deficiency syndrome group (N=52) and an excess syndrome group (N=60). Analysis of blood cytokines showed higher levels of IL-4, IL-5, and IL-13 in the deficient pattern than in the excess pattern group, but the difference was not statistically significant. Analysis of the HRV revealed a significantly higher mean value for the very-low-frequency (VLF) and high-frequency (HF) bands in the deficiency than in the excess syndrome group. The morbidity duration was longer in the deficiency than in the excess syndrome group, but the difference was not statistically significant. Analysis of the QLQAKA and VAS scores showed a negative correlation, whereas BMI and VAS showed a positive correlation. Conclusions: Levels of blood cytokines, including eotaxin, IL-1β, IL-4, IL-5, IL-6, IL-13, and TNF-α, did not differ statistically between the deficiency and excess syndrome groups. The development of a more accurate asthma-specific pattern identification tool would be useful in asthma control.

• Biomedical Science Letters
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• v.20 no.3
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• pp.139-146
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• 2014

Accurate and rapid diagnosis of dermatophytosis, a disease whose prevalence has been steadily increased, is important for successful treatment. Current laboratory methods for diagnosing dermatophytosis rely on KOH mount and fungal culture method. However, these methods have low sensitivity and are time-consuming (2~4 weeks to diagnosis). In our previous study, a rapid molecular diagnostic assay (PCR-reverse blot hybridization assay, REBA) was developed to identify the following 6 main species of dermatophytes: Trichophyton rubrum, T. mentagrophytes, T. tonsurans, Microsporum canis, M. gypseum, and Epidermophyton floccosum. However, the REBA required more evaluation to validate its use in clinical examinations. The aim of the present study was to evaluate and validate the ability of the PCR-REBA to successfully identify dermatophytes in clinical isolates from dermatophytosis patients. Both conventional identification methods and the PCR-REBA were used to assess the presence of species of dermatophytes in 148 clinical isolates. The results of the two approaches were compared, and discrepancies between the two approaches were resolved by fungal ITS1 sequence analysis. T. rubrum was the most prevalent dermatophyte identified by conventional identification methods (118/148, 79.7%) and the PCR-REBA (131/148, 88.4%). The overall rate of consistency between conventional identification methods and the PCR-REBA was 79.0% (117/148 samples). Fungal ITS1 sequence analysis showed that PCR-REBA results were correct for 93.5% (29/31) of the discrepant samples. The PCR-REBA is rapid, sensitive, and highly specific compared with conventional identification methods. Thus, the PCR-REBA is a potentially useful tool for identifying dermatophytes in clinical settings.