• Biomolecules & Therapeutics
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• 제9권1호
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• pp.51-54
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• 2001

Bufonis Venenum is a toad venom and its main components are bufadienolides, namely resibufogenin, bufalin and cinobufagin. The desensitizing effect of Bufonis Venenum is useful for the treatment of the premature ejaculation in Chinese medicine. But, minor components of Bufonis Venenum cause problems such as topical burring, pain, and erectile dysfunction. To clarify and eliminate the components responsible for these side effects, we prepared two extracts of Bufonis Venenum with either 70% ethanol or ethylacetate and tested their pharmacological effects. The extract of Bufonis Venenum with 70% ethanol produced pain response in rat hind paw, and exhibited contraction of rabbit corpus cavernosal muscle in vitro. On the other hand, the ethylacetate extract did not cause pain and smooth muscle contraction. The desensitizing effect of the ethylacetate extract was similar to that of the 70% ethanol extract. In conclusion, these results show that the extract of Bufonis Venenum with ethylacetate does not have the components causing side effects and deserve further study for therapeutic potential in premature ejaculation in men.

• Applied Microscopy
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• 제20권2호
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• pp.23-36
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• 1990

Several types of the epithelial cells were classified by ultrastructural observation through transmission electron microscope in the rat epididymis. Ultrastructural studies showed that the principal cells, basal cells and narrow cells are located in all the regions of the epididymis and the light cells are present only in the corpus and cauda epididymis. It was observed that the columnar epithelial cells like the principal cells, light cells and narrow cells contain several secretory vesicles and there are halo cells migrating in the several regions. The basal cells showed the elliptical forms in the caput and corpus region and the global forms in the cauda region.

• Journal of The Korean Society of Integrative Medicine
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• 제2권4호
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• pp.29-40
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• 2014

Purpose : Analyze the types of hospitalization for mental illness of mental health law, and the contents of hospitalization for legal guardians. Method : Review the previous studies from the provisions and academia of the current legislation such as the Mental Health law and the Habeas Corpus law conducting research. Result : Mental health law and habeas corpus law appears the problem in terms of current legislation. The problem of the scope and priorities of legal guardians, and the period of hospitalization, and economic issues appear in the mental health laws. Conclusion : must a lively discussion for the development of hospitalization for legal guardians. also necessary to switch the social awareness for mental illness patient.

• Journal of the Korean Society for information Management
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• 제14권1호
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• pp.161-181
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• 1997

The purpose of this paper is to analyze the legality of the restructuring and the using of the library data by corpus, the linguistic analysis data. In the process of the analysis, the definition of corpus is tried and its possible application areas are mentioned. It is also proved how its applications are related to the copyright. In addition the problems in the present interpretations of the copyright for the library materials are analyzed in terms of to be read by machine rather than to be read by mankind, especially when the data is stored in the forms of the digital data.

• The Journal of the Korea Contents Association
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• 제4권4호
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• pp.1-10
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• 2004

Dialogue speech corpora that contain sufficient dialogue speech features are needed for performance assessment of a spoken language dialogue system. And labeling information of dialogue speech corpora plays an important role for improvement of recognition rate in acoustic and language models. In this paper, we examine the methods by which labeling information of dialogue speech corpora can be structured. More specifically, we examined how to represent features of dialogue speech in a structured document based XML and how to design the repository system of the information.

• Language and Information
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• 제13권1호
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• pp.39-56
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• 2009

This paper investigates ordering alternation phenomena in Korean using the dative construction data from Sejong Corpus of Modern Korean (Kim, 2000). The paper first shows that syntactic weight and information structure are distinct and independent factors that influence word order in Korean. Moreover, it reveals that heaviness and givenness compete each other and exert diverging effects on word order, which contrasts the converging effects of these factors shown in word orders of right-branching languages like English. The typological variation of syntactic weight effect poses interesting theoretical and empirical questions, which are discussed in relation to processing efficiency in ordering.

• Phonetics and Speech Sciences
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• 제9권3호
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• pp.17-23
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• 2017

The present study investigates the effect of Accentual Phrase on F0 using a subset of large-scale corpus of Seoul Korean. Four syllable words which were neither preceded nor followed by silent pauses were presumed to be canonical exemplars of Accentual Phrases in Korean. These four syllable words were extracted from female speakers' speech samples. Growth curve analyses, combination of regression and polynomial curve fitting, were applied to the four syllable words. Four syllable words were divided into four groups depending on the categorical status of the initial segment: voiceless obstruents, voiced obstruents, sonorants, and vowels. Results of growth curve analyses indicate that initial segment types have an effect on the F0 (in semitone) in the nucleus of the initial syllable, and the cubic polynomial term revealed that some of the medial low tones in the 4 syllable words may be guided by the principle of contrast maximization, while others may be governed by the principle of ease of articulation.

• Journal of Korean language education
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• 제23권1호
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• pp.331-353
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• 2012

People frequently exchange their message or information. In recent years, as the communication means are getting various, many new words are made and changing. Remarkably, a noun 'Wanjeon' in Korean is using as an adverb in real life. Therefore, first, this paper attempted to review the adverbialization of 'Wanjeon' on the analysis of written and spoken corpus in Korean and Japanese. Second, it considered the morphological and syntactical difference between 'Wanjeon' and 'Wanjeonhi' in Korean with the contrast with Japanese 'Kanzen' and 'Kanzenni'. Third, it reviewed what semantic difference are made when 'Wanjeon' and 'Wanjeonhi' are substituted also with the contrast with Japanese.

• Journal of Information Processing Systems
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• 제17권3호
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• pp.586-598
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• 2021

Nowadays, users' reviews and feedback on e-commerce sites stored in text create a huge source of information for analyzing customers' experience with goods and services provided by a business. In other words, collecting and analyzing this information is necessary to better understand customer needs. In this study, we first collected a corpus with 99,322 customers' comments and opinions in English. From this corpus we chose the best number of topics (K) using Perplexity and Coherence Score measurements as the input parameters for the model. Finally, we conducted an experiment using the latent Dirichlet allocation (LDA) topic model with K coefficients to explore the topic. The model results found hidden topics and keyword sets with high probability that are interesting to users. The application of empirical results from the model will support decision-making to help businesses improve products and services as well as business management and development in the field of hotel services.

• Journal of information and communication convergence engineering
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• 제21권1호
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• pp.9-16
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• 2023

The natural language on social network platforms has a certain front-to-back dependency in structure, and the direct conversion of Chinese text into a vector makes the dimensionality very high, thereby resulting in the low accuracy of existing text classification methods. To this end, this study establishes a deep learning model that combines a big data ultra-deep convolutional neural network (UDCNN) and long short-term memory network (LSTM). The deep structure of UDCNN is used to extract the features of text vector classification. The LSTM stores historical information to extract the context dependency of long texts, and word embedding is introduced to convert the text into low-dimensional vectors. Experiments are conducted on the social network platforms Sogou corpus and the University HowNet Chinese corpus. The research results show that compared with CNN + rand, LSTM, and other models, the neural network deep learning hybrid model can effectively improve the accuracy of text classification.