• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.10
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• pp.6527-6533
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• 2015

It is generally accepted that there are differences between men and women in linguistic communication style. Genderlect is a socio-linguistic term to refer to the linguistic differences spoken by specific gender. Some linguistic features are provided as evidence to show the genderlects: pitch, lexicon, intonation, grammar and styles. The purpose of this paper is to compare the characteristics of genderlect in English and Korean. To do so, I analyzed the scripts of an English movie, 'Mrs. Doubtfire' and Korean tv drama, 'Oohlala couple'. In "Mrs. Doubtfire, tension and laughter arose out of discrepancy from the way he looked (as a woman) and the way he spoke (like a man). The same is true with "Oohlala couple." In the language of Mrs. Doubtfire, male speech characteristics with nouns were salient while in "Oohlala couple" with verb forms, especially with honorific style, which shows a difference between Korean and English genderlect. Korean language has special genderlect characteristics with honorific speech style realized in verb endings. In Korean the highest honorific speech style, 'Habsho-che' is used in official situation and men are more accustomed to it than women. When women have to use polite expressions they have to choose between the highest honorific style, 'Habsho-che' losing the female characteristics or the second highest honorific style 'Haeyo-che' keeping the female characteristics.

• Journal of Life Science
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• v.27 no.4
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• pp.435-441
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• 2017

Perchlorate ($ClO_4^-$) is an emerging contaminant detected in soil, groundwater, and surface water. Previous study revealed bacterial community in the enrichment culture tdegraded perchlorate using elemental sulfur as an electron donor. Quantitative and qualitative molecular methods were employed in this study to investigate archaeal community in the enrichment culture. Real-time qPCR showed that archaeal 16S rRNA gene copy number in the culture was about 1.5% of bacterial 16S rRNA gene copy number. This suggested that less archaea were adapted to the environment of the enrichment culture and bacteria were dominant. DGGE banding pattern revealed that archaeal community profile of the enrichment culture was different from that of the activated sludge used as an inoculum for the enrichment culture. The most dominant DGGE band of the enrichment culture was affiliated with Methanococci. Further research is necessary to investigate metabolic role of the dominant archaeal population to better understand microbial community in the perchlorate-reducing enrichment culture.

• ANNALS OF ANIMAL RESOURCE SCIENCES
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• v.28 no.2
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• pp.56-63
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• 2017

This study was conducted to determine the effects of supplementary levels of dietary betaine and energy on nutrient digestibility and physiological responses in growing pigs exposed to heat stress. A total of 12 barrows ($L{\times}Y{\times}D$; initial BW, $67.1{\pm}0.98kg$) were allocated into individual metabolic crates. Experimental design was a $4{\times}4$ Latin square with dietary energy and betaine levels (3,300 and 3,400 kcal/kg; 0 and 0.5%, respectively) and the experimental period (n=4). Feeding trial was performed during summer season (July and August). Digestibility of crude fat was higher (p<0.01) in the ME 3,400 kcal/kg than the ME 3,300 kcal/kg, but did not differ by betaine (p>0.05). Blood corpuscles and biochemical components were not influenced by dietary energy and betaine levels (p>0.05). Serum IgG was greater (p<0.05) in the ME 3,400 kcal/kg than the ME 3,300 kcal/kg, but cortisol was not differ among the treatment groups (p>0.05). In conclusion, our results showed positive effects by energy levels rather than betaine. Thus, further study need investigation of effects of high energy level in the pigs exposed to heat stress.

• Korean Journal of Weed Science
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• v.31 no.2
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• pp.134-145
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• 2011

The objectives of this study were to investigate fitness difference in growth and rice yield in herbicide-transgenic rice overexpressing Myxococcus xanthus and Arabidopsis thaliana protoporphyrinogen oxidase (Protox) genes and non-transgenic rice. We also aimed to determine whether these fitness differences are related to ALA synthesizing capacity, accumulation of terapyrroles, reactive oxygen species, lipid peroxidation, and antioxidative enzymes at different growth stages of rice. Plant height of the transgenic rice overexpressing M. xanthus (MX) and A. thaliana (AP37) Protox genes at 43, 50, and 65 days after transplanting (DAT) was significantly lower than that of WT. Number of tiller of PX as well as MX and AP37 at 50 and 65 DAT was significantly lower than that of WT. At harvest time, culm length and yield of MX, PX and AP37 and rice straw weight of MX and AP37 were significantly low compared with WT. The reduction of yield in MX, PX, and AP37 was caused by spikelets per panicle and 1000 grain weight, ripened grain, spikelets per panicle, 1000 grain weight, and ripened grain, respectively. On the other hand, 135 the reduction of yield in MX, PX, and AP37 was also observed in another yearly variation experiment. The reduction of rice growth in MX, PX, and AP37 was observed in seedling stage as well as growth duration in field. There were no differences in tetrapyrrole intermediate Proto IX, Mg-Proto IX and Mg-Proto IX monomethyl ester, reactive oxygen species ($H_2O_2$ and ${O_2}^-$), MDA, antioxidative enzymes (SOD, CAT, POX, APX, and GR) and chlorophyll between transgenic lines and wild type, indicating that accumulated tetrapyrrole intermediate and other parameters were not related to growth reduction in transgenic rice. However, ALA synthesizing capacity in MX, PX, and AP37 at one day after exposure to light and 52 DAT was significantly lower than that of WT. Further study is required to elucidate the mechanisms underlying the growth and yield difference between transgenic and WT lines.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.12
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• pp.407-414
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• 2016

This study was conducted to investigate the effects of supplementation of dietary betaine on nutrient digestibility and physiological responses in finishing pigs. A total of twelve pigs with a body weight of $80.1{\pm}3.7kg$ were individually caged, and randomly assigned to one of the two experimental diets containing 0 (control) or 5 g/kg (treatment) of the betaine in a $2{\times}2$ Latin square design. The experimental period was 14 days-7 days adaptation and 7 days trial period-per phase. All data for the difference between control and treatment groups were statistically analyzed by student's t-test. Dry matter and crude protein digestibility in the treatment group were significantly improved by 1% and 1.3%, respectively, as compared with those in the control (p<0.05). The apparent absorption of dietary energy was increased from 82.3% to 83.7% by dietary betaine supplementation. Thus, the retention of energy was also significantly increased to above 6% in the treatment group compared with the control group (control 4,057 vs treatment 4,314 kcal; p<0.01). The physiological parameters indicating serum biochemical contents and stress-, immune-, and inflammatory- responses were not changed by the supplementation of dietary betaine. In conclusion, dietary betaine improves the nutrient digestibility without any negative effects in terms of physiology in finishing pigs. It suggests that the supplementation of dietary betaine may increase the productivity through the improvement of weight gain and feeding efficiency.

• Korean Journal of Organic Agriculture
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• v.21 no.3
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• pp.423-435
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• 2013

The Codonopsis pilosula is traditional oriental herb associated with immune-modulatory functions and has anti-inflammatory properties and antioxidative activity. The present study was conducted to investigate the effects of dietary supplementation of Codonopsis pilosula extract powder (CEP) on the immunity and productivity in sows and piglets. A total of 20 pregnant sows were randomly assigned to two dietary treatments, which was given a corn-soybean meal diet with 0% and 0.5% CEP from 40 days prepartum to weaning (25 days postpartum). The immune system of piglets was expected to build up, because the feeding of CEP might increase the colostrum contents in sows. We also predicted that the growth performance of piglets also could be increased by some compensation effects due to the increased immunity of piglets. In results, immunities of sows and piglets as well as growth performance of piglets were not affected by the supplementation of CEP. The correlation between the colostrum and the serum on the IgG contents tended to have a positive correlation, although there was no significant (coefficient, 0.435; P=0.102). This result suggests that the supplementation of CEP may increase IgG contents in sows and piglets and contribute to improve immunity of piglets. In conclusion, it is thought that the physiologically active substances of CEP did not influence to the immune synergic effects in vivo of sows. Thus, the metabolic and action mechanism of the physiologically active substances of CEP should be explored to evaluate the availability of CEP as a feed additive for the immunomodulator.

• Applied Microscopy
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• v.29 no.3
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• pp.383-403
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• 1999

This study was performed to investigate the immunohistochemical and ultrastructural characterization of the choline acetyltransferase (ChAT)-immunoreactive nerve cells in the diagonal band of Broca of the rat basal forebrains, utilizing techniques of immunohistochemical and immunocytochemical microscopy. The ChAT-immunoreactivities were shown within neuronal cell bodies and processes by the light micoscope. According to cell shape and ratio of long axis vs short axis of cell body, the ChAT-immunoreaclive nerve cells in both vertical and horizontal limbs of the diagonal band of Broca were classified into 6 types. at the light microscopic level; round, oval, elongated, fusiform, triangular and polygonal types. As a result of the electron microscopic observation, the ChAT-immunoreactivated products appeared on the outer nuclear envelope, membranes of rough endoplasmic reticula (rER), free ribosomes and polysomes. Each cell type was subdivided into subtype I and II according to the several criteria such as volume of cell body, nuclear size relative to the cytoplasm, kinds and distribution of cell organelles and numbers and sorts of synapses. The subtype I of immnunoreactive nerve cells had large cell body and a small nucleus showing shallow indentations of nuclear evelope. In this subtype I with abundant cytoplasm, rER were well differentiated. Their long cisternae were parallelly ditributed and lamellated. One or two lamellar bodies and nematosomes were observed. The subtype II cell had small cell body and a large nucleus with deep indentations of nuclear envelope. In this subtype II with small cytoplasm, the rER were irregularly distributed and the lamellar body and nematosome were not found. A few axosomatic synapses in the subtype I and II were shown to be symmetric or asymmetric. The ratios of the symmetric synapse to the asymmetric one were investigated to be 1 : 2 and 1 : 4 in the subtype I and II, respectively. The axodendritic ones were almost asymmetric. But, the fusiform and triangular immunoreactive nerve cells were shown only to be subtype I. According to observations in this study, it is considered that the ultrastructural characterization in the 2 subtypes of each cell type may reflect the differences of the metabolic activities and projecting distances to the target cells.

• Journal of Life Science
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• v.26 no.1
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• pp.68-74
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• 2016

Perchlorate (ClO₄⁻) is an emerging pollutant detected in surface water, soil, and groundwater. Previous studies provided experimental evidence of autotrophic ClO₄⁻ removal with elemental sulfur (S⁰) particles and activated sludge, which are inexpensive and easily available, respectively. In addition, ClO₄⁻ removal efficiency was shown to increase when an enrichment culture was used as an inoculum instead of activated sludge. PCR-DGGE was employed in the present study to investigate the microbial community in the enrichment culture that removed ClO₄⁻ autotrophically. Microorganisms in the enrichment culture showed 99.71% or more ClO₄⁻ removal efficiency after a 7-day incubation when the initial concentration was approximately 120 mg ClO₄⁻/l. Genomic DNA was isolated from the enriched culture and its inoculum (activated sludge), and used for PCR-DGGE analysis of 16S rRNA genes. Microbial compositions of the enrichment culture and the activated sludge were different, as determined by their different DGGE profiles. The difference in DGGE banding patterns suggests that environmental conditions of the enrichment culture caused a change in the microbial community composition of the inoculated activated sludge. Dominant DGGE bands in the enrichment culture sample were affiliated with the classes β-Proteobacteria, Bacteroidetes, and Spirochaetes. Further investigation is warranted to reveal the metabolic roles of the dominant populations in the ClO₄⁻ degradation process, along with their isolation.

• Journal of Intelligence and Information Systems
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• v.24 no.4
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• pp.219-240
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• 2018

Sentiment analysis, which is one of the text mining techniques, is a method for extracting subjective content embedded in text documents. Recently, the sentiment analysis methods have been widely used in many fields. As good examples, data-driven surveys are based on analyzing the subjectivity of text data posted by users and market researches are conducted by analyzing users' review posts to quantify users' reputation on a target product. The basic method of sentiment analysis is to use sentiment dictionary (or lexicon), a list of sentiment vocabularies with positive, neutral, or negative semantics. In general, the meaning of many sentiment words is likely to be different across domains. For example, a sentiment word, 'sad' indicates negative meaning in many fields but a movie. In order to perform accurate sentiment analysis, we need to build the sentiment dictionary for a given domain. However, such a method of building the sentiment lexicon is time-consuming and various sentiment vocabularies are not included without the use of general-purpose sentiment lexicon. In order to address this problem, several studies have been carried out to construct the sentiment lexicon suitable for a specific domain based on 'OPEN HANGUL' and 'SentiWordNet', which are general-purpose sentiment lexicons. However, OPEN HANGUL is no longer being serviced and SentiWordNet does not work well because of language difference in the process of converting Korean word into English word. There are restrictions on the use of such general-purpose sentiment lexicons as seed data for building the sentiment lexicon for a specific domain. In this article, we construct 'KNU Korean Sentiment Lexicon (KNU-KSL)', a new general-purpose Korean sentiment dictionary that is more advanced than existing general-purpose lexicons. The proposed dictionary, which is a list of domain-independent sentiment words such as 'thank you', 'worthy', and 'impressed', is built to quickly construct the sentiment dictionary for a target domain. Especially, it constructs sentiment vocabularies by analyzing the glosses contained in Standard Korean Language Dictionary (SKLD) by the following procedures: First, we propose a sentiment classification model based on Bidirectional Long Short-Term Memory (Bi-LSTM). Second, the proposed deep learning model automatically classifies each of glosses to either positive or negative meaning. Third, positive words and phrases are extracted from the glosses classified as positive meaning, while negative words and phrases are extracted from the glosses classified as negative meaning. Our experimental results show that the average accuracy of the proposed sentiment classification model is up to 89.45%. In addition, the sentiment dictionary is more extended using various external sources including SentiWordNet, SenticNet, Emotional Verbs, and Sentiment Lexicon 0603. Furthermore, we add sentiment information about frequently used coined words and emoticons that are used mainly on the Web. The KNU-KSL contains a total of 14,843 sentiment vocabularies, each of which is one of 1-grams, 2-grams, phrases, and sentence patterns. Unlike existing sentiment dictionaries, it is composed of words that are not affected by particular domains. The recent trend on sentiment analysis is to use deep learning technique without sentiment dictionaries. The importance of developing sentiment dictionaries is declined gradually. However, one of recent studies shows that the words in the sentiment dictionary can be used as features of deep learning models, resulting in the sentiment analysis performed with higher accuracy (Teng, Z., 2016). This result indicates that the sentiment dictionary is used not only for sentiment analysis but also as features of deep learning models for improving accuracy. The proposed dictionary can be used as a basic data for constructing the sentiment lexicon of a particular domain and as features of deep learning models. It is also useful to automatically and quickly build large training sets for deep learning models.