• Journal of Life Science
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• v.32 no.8
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• pp.611-621
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• 2022

Dimethyl sulfoxide (DMSO) is commonly used as control or vehicle solvent in preclinical research of neurodegenerative diseases such as amyotrophic lateral sclerosis (ALS) due to its ability to dissolve lipophilic compounds and cross the blood brain barrier. However, the biochemical effects of DMSO on the outcomes of preclinical research are often overlooked. In the present study, we investigated whether the long-term oral administration of 5% DMSO affects the neurological, functional, and histological disease phenotype of the copper/zinc superoxide dismutase glycine 93 to alanine mutation (SOD1-G93A) mouse model of amyotrophic lateral sclerosis. SOD1-G93A transgenic mice showed shortened survival time and reduced motor function. We found that administration with DMSO led to increased mean survival time, reduced neurological scores, and improved motor performance tested using the rotarod and grip strength tests. On the other hand, DMSO treatment did not attenuate motor neuron loss in the spinal cord and denervation of neuromuscular junctions in the skeletal muscle. These results suggest that DMSO administration could improve the quality of life of the SOD1-G93A mouse model of ALS without affecting motor neuron denervation. In conclusion, the use of DMSO as control or vehicle solvent in preclinical research may affect the behavioral outcomes in the SOD1-G93A mouse model. The effect of the vehicle should be thoroughly considered when interpreting therapeutic efficacy of candidate drugs in preclinical research.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.31 no.2
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• pp.186-194
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• 1986

In an attempt to find better ways to relate growth with temperature and to estimate maturity differences in corn (Zea mays L.), various formulas of computing Growing Degree Days (GDD) were evaluated. Utilizing data from 17 plantings of a single cross, Suweon 19, over a 3 year period, 24 different methods of computing GDD were compared for their ability to reduce variations over different plantings. The best equation was to compute GDD with a base temperature of 10$^{\circ}C$ and an optimum of 30$^{\circ}C$. The excess temperature above 30$^{\circ}C$ was subtracted to account for high temperature stress. GDDs required for emergence and silking of Suweon 19 were 64${\pm}$12$^{\circ}$ and 794${\pm}$19$^{\circ}$, respectively. Based on these GDD values, emergence and silking dates could be estimated with a variation less than 3 days. The observed and estimated number of days from planting to emergence and silking were not significantly different.

• Korea Trade Review
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• v.42 no.5
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• pp.113-136
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• 2017

New product preannouncement through global supply chain management and international strategic alliances is a critical issue for firm's survive and gaining the competitive advantage in the global smart-phone market. To identify the impact of exploration alliance and exploitation alliance on the short-term's Firm Performance, respectively, This study implemented the event study and the cross sectional regression analysis, focusing on the case of Galaxy Note series. Research results identified that new technologies by exploration alliance and the existing technologies through exploitation alliance have a positive effect on the short-term's performance of vendors related. Furthermore, information for the new products showed higher the excess earning rate than information related to the existing technologies. This implies the firms that provides new technologies have a stronger innovative ability than the companies serving the existing technologies, recognizing as a positive signal in the market. Finally, this study implicates that new technologies by exploration alliance enhances innovative abilities from new product preannouncement, and is a critical variable that can determines whether to survive in the market.

• Proceedings of the Korean Society of Crop Science Conference
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• 2022.10a
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• pp.25-25
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• 2022

Drought becomes frequent and severe because of continuous global warming, leading to a significant loss of crop yield. In soybean (Glycine max [L.]), most of quantitative trait loci (QTLs) analyses for drought tolerance have conducted by investigating yield changes under water-restricted conditions at the reproductive stages. More recently, the necessity of QTL studies to use physiological indices responding to drought at the early growth stages besides the reproductive ones has arisen due to the unpredictable and prevalent occurrence of drought throughout the soybean growing season. In this study, we thus identified QTLs conferring wilting scores and moisture contents of soybean subjected to drought stress in the early vegetative stage using an recombinant inbred line (RIL) population derived from a cross between Taekwang (drought-sensitive) and SS2-2 (drought-tolerant). For the two traits, the same major QTL was located on chromosome 10, accounting for up to 11.5% of phenotypic variance explained with LOD score of 12.5. This QTL overlaps with a reported QTL for the limited transpiration trait in soybean and harbors an ortholog of the Arabidopsis ABA and drought-induced RING-D UF1117 gene. Meanwhile, one of important features of plant drought tolerance is their ability to limit transpiration rates under high vapor pressure deficiency in response to mitigate water loss. However, monitoring their transpiration rates is time-consuming and laborious. Therefore, only a few population-level studies regarding transpiration rates under the drought condition have been reported so far. Via employing an Arduino-based platform, for the reasons addressed, we are measuring and recording total pot weights of soybean plants every hour from the 1^st day after water restriction to the days when the half of the RILs exhibited permanent tissue damage in at least one trifoliate. Gradual decrease in moisture of soil in pots as time passes refers increase in the severity of drought stress. By tracking changes in the total pot weights of soybean plants, we will infer transpiration rates of the mapping parents and their RILs according to different levels of VPD and drought stress. The profile of transpiration rates from different levels of severity in the stresses facilitates a better understanding of relationship between transpiration-related features, such as limited maximum transpiration rates, to water saving performances, as well as those to other drought-responsive phenotypes. Our findings will provide primary insights on drought tolerance mechanisms in soybean and useful resources for improvement of soybean varieties tolerant to drought stress.

• Information Systems Review
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• v.24 no.4
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• pp.23-40
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• 2022

Although Support Vector Machine(SVM) has been used in various fields such as bankruptcy prediction model, the hyperplane learned by SVM in class imbalance problem can be severely skewed toward minority class and has a negative impact on performance because the area of majority class is expanded while the area of minority class is invaded. This study proposed optimized uneven margin SVM(OPT-UMSVM) combining threshold moving or post scaling method with UMSVM to cope with the limitation of the traditional even margin SVM(EMSVM) in class imbalance problem. OPT-UMSVM readjusted the skewed hyperplane to the majority class and had better generation ability than EMSVM improving the sensitivity of minority class and calculating the optimized performance. To validate OPT-UMSVM, 10-fold cross validations were performed on five sub-datasets with different imbalance ratio values. Empirical results showed two main findings. First, UMSVM had a weak effect on improving the performance of EMSVM in balanced datasets, but it greatly outperformed EMSVM in severely imbalanced datasets. Second, compared to EMSVM and conventional UMSVM, OPT-UMSVM had better performance in both balanced and imbalanced datasets and showed a significant difference performance especially in severely imbalanced datasets.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.349-358
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• 2024

This study conducted a literature analysis to examine the overall trend of speech-language pathology in discourse research, focusing on studies on the topic of discourse from 2010 to 2023. Twenty-five papers were selected and analyzed in terms of research status, research subjects (age and subject type), and research methods (type and task). As a result, first, looking at the annual status of discourse research, it was confirmed that it is increasing starting from 2015 compared to 2010 to 2014. Second, the age of the research subjects and the types of experimental and control groups in the experimental study were examined. First, when analyzing the age of the subjects, research was actively conducted on school-age subjects (12 studies, 48.00%). When looking at the analysis of the types of experimental group subjects, the Normal group was the most (4 studies (19.04%)), and the control group subject type was also conducted with Normal as the control group (13 studies (61.90%)). It was the most. Third, in the analysis of research methods, it was found that the research type was very biased towards experimental studies, with 21 studies (84.00%). The type of research in terms of time was cross-sectional studies, which accounted for a high proportion of 21 studies (84.00%), and the research project used to evaluate discourse ability with a high proportion was discourse production, with a total of 12 studies (48.00%). This study comprehensively looked at discourse-related research related to language development and language disorders and sought to identify recent trends and the direction in which discourse-related research should move. The analysis of this study was limited to domestic papers. In follow-up research, we hope to understand the flow of research and discuss it, including overseas research related to discourse.

• Journal of Microbiology and Biotechnology
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• v.34 no.5
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• pp.1146-1153
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• 2024

The increasing economic losses associated with growth retardation caused by Enterocytozoon hepatopenaei (EHP), a microsporidian parasite infecting penaeid shrimp, require effective monitoring. The internal transcribed spacer (ITS)-1 region, the non-coding region of ribosomal clusters between 18S and 5.8S rRNA genes, is widely used in phylogenetic studies due to its high variability. In this study, the ITS-1 region sequence (~600-bp) of EHP was first identified, and primers for a polymerase chain reaction (PCR) assay targeting that sequence were designed. A newly developed nested-PCR method successfully detected the EHP in various shrimp (Penaeus vannamei and P. monodon) and related samples, including water and feces collected from Indonesia, Thailand, South Korea, India, and Malaysia. The primers did not cross-react with other hosts and pathogens, and this PCR assay is more sensitive than existing PCR detection methods targeting the small subunit ribosomal RNA (SSU rRNA) and spore wall protein (SWP) genes. Phylogenetic analysis based on the ITS-1 sequences indicated that the Indonesian strain was distinct (86.2% nucleotide sequence identity) from other strains collected from Thailand and South Korea, and also showed the internal diversity among Thailand (N = 7, divided into four branches) and South Korean (N = 5, divided into two branches) samples. The results revealed the ability of the ITS-1 region to determine the genetic diversity of EHP from different geographical origins.

• Applied Chemistry for Engineering
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• v.35 no.4
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• pp.303-308
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• 2024

Currently, lithium secondary batteries have been used as medium- or large-sized energy sources such as electric vehicles and energy storage system (ESS) due to their high energy and eco-friendly characteristics. Currently commercialized lithium secondary batteries do not fully meet the demands for high energy density and safety. Many studies on solid electrolytes are being conducted to satisfy these requirements. In order to commercialize a solid electrolyte, it is important to supplement the low ion conductivity and high interface resistance with an electrode compared to the organic liquid electrolyte. Therefore, in this study, oligo(3,4-ethylenedioxythiophene (EDOT)) is added to poly(vinyl alcohol) (PVA), which is a polymer matrix with ion conductivity and sticky characteristics, to decrease the interfacial resistance with the same type of polythiophene (PTh)-based electrode. In addition, the addition of porous silicon dioxide (SiO₂) filler improves lithium salt dissociation ability and increases ionic conductivity. And the electrochemical stability of the solid electrolyte, which has been lowered due to additives, is improved by introducing a cross-linked structure using boric acid (BA).

• Korean Journal of Plant Resources
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• v.37 no.4
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• pp.423-430
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• 2024

Cymbidium (C.) spp. 'Wedding Day' was developed by the National Institute of Horticultural and Herbal Science, Rural Development Administration in 2021. This cultivar was derived from the artificial cross between C. 'Boksam Holiday' and C. 'Persicolor' in 2008. After the crossing, 112 seedlings were obtained through in vitro germination and transferred to the green house. Based on their vegetative and flowering characteristics, two lines were selected through the first selection. To confirm the stability and uniformity of the two lines, the first and second trials were conducted from 2017 to 2021. As a result, the final line with the code 'C0844-29' was selected as 'Wongyuo F1-78'. After evaluating consumer preference, the line was named as 'Wedding Day'. This hybrid is medium sized cultivar with long vase life of cut flowers and more than 11 white flowers per stalk. It has 63.2 cm of erect stalks which are suitable for cut flower. The leaves are 65.8 cm long and located lower than the flowers, providing appropriate shape for viewing the flowers. It starts flowering from late January. It has sufficient proliferation ability to enable mass proliferation for commercial use (Registration No. 9523).

• Journal of The Korean Society of Grassland and Forage Science
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• v.26 no.1
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• pp.53-62
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• 2006

Near infrared reflectance spectroscopy (NIRS) has been increasingly used as a rapid, accurate method of evaluating some chemical compositions in forages. Analysis of forage quality by NIRS usually involves dry ground samples. Costs might be reduced if samples could be analyzed without drying or grinding. The objective of this study was to investigate effect of sample preparations and spectral math treatments on prediction ability of chemical composition for corn silage by NIRS. A population of 112 corn silage representing a wide range in chemical parameters were used in this investigation. Samples of com silage were scanned at 2nm intervals over the wavelength range 400-2500nm and the optical data recorded as log l/Reflectance(log l/R) and scanned in overt-dried grinding(ODG), liquid nitrogen grinding(LNG) or intact fresh(IF) condition. Samples were analysed for neutral detergent fiber(NDF), acid detergent fiber(ADF), acid detergent lignin(ADL), crude protein(CP) and crude ash content were expressed on a dry-matter(DM) basis. The spectral data were regressed against a range of chemical parameters using modified partial least squares(MPLS) multivariate analysis in conjunction with four spectral math treatments to reduce the effect of extraneous noise. The optimum calibrations were selected on the basis of minimizing the standard error of cross validation(SECV). The results of this study show that NIRS predicted the chemical parameters with very high degree of accuracy(the correlation coefficient of cross validation$(R^2cv)$ range from $0.70{\sim}0.95$) in ODG. The optimum equations were selected on the basis of minimizing the standard error of prediction(SEP). The Optimum sample preparation methods and spectral math treatment were for ADF, the ODG method using 2,10,5 math treatment(SEP = 0.99, $R^2v=0.93$), and for CP, the ODG method using 1,4,4 math treatment(SEP = 0.29. $R^2v=0.91$).