• Journal of Korean Library and Information Science Society
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• v.49 no.2
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• pp.25-58
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• 2018

This study analyzed the agriculutral book Gyemi Metal Type Sasichanyo which was produced in Jujaso(鑄字所), by early Joseon dynasty's king Taejo(太宗). It is the most advanced edition of Sasichanyo("四時纂要") among whole east-northern Asia, which contains miscellanies about monthly agricultural plan(月令式 農家雜錄) and the themes are; agriculture, production spin-off processing, sanitation and medicine, tool fixing and conservation, business management. This research divided all letters appeared in Gyemi metal type Sasichanyo("四時纂要") by three categories; small letters, smaller letters, smallest letters to define its' function and characteristics and estimated the value of Sasichanyo("四時纂要"). Also in the aspect of typeface of letters and typesettings, this study compared all editions of Sasichanyo("四時纂要") with Gyemi metal type Sasichanyo("四時纂要").

• Journal of Pharmacopuncture
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• v.23 no.3
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• pp.142-157
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• 2020

Cannabis is a historical plant which has been used as a medicine in East Asia. These days, there are active debates about using cannabis in clinical field. Collecting and comparing cannabis research articles which had been published in the Opening of Japan to spot the interactions between the traditional medicine of Japan, Rangaku which was established in Edo Period and the European medicine which is transferred after Perry Expedition is academically meaningful. This study searched publications, which were listed on Open-Access databases by Dec. 11^th, 2019. We collected research articles which had been published from January 3^rd, 1867 to July 30^th, 1912 also known as Meiji era and uploaded on OpenAccess databases. Our searching databases were J-stage, CiNii (Scholarly and Academic Information Navigator), Tokyo Metropolitan Library, The National Diet Library, IRDB (Institutional Repositories DataBase) and KAKEN (Grant-in-Aid for Scientific Research Database). Searching keywords were cannabis, hemp and all their Japanese synonyms and available combinations. We selected final 15 studies which met every selection criteria in the 346,393 collected studies. Cannabis was prescribed in Meiji era of Japan to alleviate pain and cure the digestive, respiratory, urinary, and nervous system diseases such as indigestion, asthma, tuberculosis, gonorrhea and its complications, insomnia, and nervous prostration. Cannabis was medically used in Meiji era of Japan and the reporting and sharing of its clinical effect was published on the medical journals like present days. There were already Cannabis regulations in that era, but its medicinal use was more liberated than nowadays. It may be a chance to reconsider the current legal system, which strictly controls the use of Cannabis.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.20 no.3
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• pp.149-161
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• 2009

The purpose of this study is to investigate and analyse the revised contents of the history class in the Korean Decimal Classification(KDC), 5th edition, and then identify problems and propose the revised contents for the KDC, 6the edition. Major analysed areas are divided into four. First, geographic area table is discussed. It includes extension of the geographic area table, emphasis of hierarchical structure in the geographical area, revision of North Korean geographical names, extension of subgeographical structure of major nations in the world, and revision of nations in the central and west Asia. Second, Korean time period is extended. Third, the notes of entries of the Chinese and Japanese history areas are shorten. Fourth, the geographical and personal names are changed their native pronunciation, specially Chinese and Japanese. For the revision of the KDC, 6th edition, four areas are discussed: first, Korean geographic areas would be categorized by broaden area, second, the areas are arranged from the capital of the nation to others, third, foreign geographical names would be used their native names, and last, time period would be categorized by years.

• Journal of the Society of Disaster Information
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• v.16 no.3
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• pp.542-549
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• 2020

Purpose: As nitrate nitrogen produced during fermentation of liquid fertilizer is a pollution indicator of water, in this study, four research areas where liquid fertilizer was sprayed were selected, and a model was designed to estimate the concentration of nitrate nitrogen pollution. Method: Prior to shooting on site, a spectrum library was constructed by dividing the ratio of liquid fertilizer into 5 groups: 0%, 25%, 50%, 75%, and 100%. PLSR (Partial least squares regression) method was applied to hyperspectral images acquired in the study area based on the aspect of spectrum. Result: The behavior of nitrate nitrogen was confirmed by 1st and 2nd differentiation of the spectrum of the constructed liquid fertilizer. PLSR concentration estimation modeling was implemented using images from field experiments and compared with actual concentration of nitrate nitrogen. Conclusion: When comparing the PLSR concentration estimation model with the actual concentration of nitrate nitrogen, it was measured that the detection is possible in high concentration areas where the concentration of nitrate nitrogen is 70mg/kg or more.

• East Asian Journal of Business Economics (EAJBE)
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• v.10 no.1
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• pp.59-69
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• 2022

Purpose - Burnouts cause the workers to quit their jobs because with the heavy workloads that the employees get subjected to, they feel that they have little control over what they have to accomplish in the workplace. The purpose of this research is to provide adequate solutions using brief consultation process, reducing negative psychological factors. Research design, Data, and methodology - The current research conducted the 'Qualitative Content Analysis' (QCA), which is one of the most employed analytical tools; it has been used widely all over the globe in various research applications in library science and information. Primarily, this analysis is often used as a method in the quantitative tool until the recent decade. Result - Based on ultimate systematic literature analysis, excessive workloads can get addressed by finding proper solutions to the issues of depression, anxiety, irritability, and discouragement. The solutions are (1) Combating Excessive Workloads using Effective Employee Selection, (2) Employee Effective training, and (3) Job redesigning. Conclusion - Selecting or recruiting employees that have skills for the given job also makes it possible for the organization to run its employees effectively and with minimal cases of workload as an organization understands the capabilities and capacities of workload an employee can complete.

• SUVANNABHUMI
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• v.7 no.1
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• pp.157-186
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• 2015

Sittaung-Thanlwin region in Lower Myanmar is an ecological niche for human settlement. Evidences of human activities in the region are seen through various archaeological sites or settlements along the coastal area between the rivers Sittaung and Thanlwin (Salween). In Lower Myanmar, scholar, U Aung Myint, discovered one major site Kyaikkatha and other small scale sites, namely, Sittaung, Kawhtin, Kadaikgyi, Kadaikkalay, Katkadit, Kelatha (little Zothoke), Ayetthama, Winka, Zothoke (big Zothoke), Lagonbyi (Sampannago), Wagaru, Laming and Ye in present day Mon State. In 1980, U Aung Myint undertook an exploration program at Kyaikkatha. After the exploration, an excavation team conducted systematic digging at Kyaikkatha in March 1986. Excavation continued occasionally at Kyaikkatha throughout the years between 1995 and 2000. It is known that Kyaikkatha, the old city, reveals a kind of monumental civilization exposing four religious structures (a stupa and three monasteries). This essay looks into the distribution of features within Kyaikkatha and infers on its social, political, and religious organization. This essay is also about a new discovery of an early urban settlement located at the apex of the Gulf of Muttama (Martaban) where a lost city of Suvannahumi flourished in the ancient days. By means of aerial photographic observations, the site had been noticed recently, which was by followed some excavations. More systematic and detail surveying may be needed to know more about the site and its features for comparison to other similar settlements of through-out mainland South East Asia.

• Asia Pacific Journal of Corpus Research
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• v.4 no.2
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• pp.75-87
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• 2023

This paper presents a revised version of the vocabulary analyzer for self-reflection (VACSR), called VACSR v.2.0. The initial version of the VACSR automatically analyzes the occurrences and the level of vocabulary items in the transcribed texts, indicating the frequency, the unused vocabulary items, and those not belonging to either scale. However, it overlooked words with multiple parts of speech due to their identical headword representations. It also needed to provide more explanatory result tables from different corpora. VACSR v.2.0 overcomes the limitations of its predecessor. First, unlike VACSR v.1, VACSR v.2.0 distinguishes words that are different parts of speech by syntactic parsing using Stanza, an open-source Python library. It enables the categorization of the same lexical items with multiple parts of speech. Second, VACSR v.2.0 overcomes the limited clarity of VACSR v.1 by providing precise result output tables. The updated software compares the occurrence of vocabulary items included in classroom corpora for each level of the Common European Framework of Reference-Japan (CEFR-J) wordlist. A pilot study utilizing VACSR v.2.0 showed that, after converting two English classes taught by a preservice English teacher into corpora, the headwords used mostly corresponded to CEFR-J level A1. In practice, VACSR v.2.0 will promote users' reflection on their vocabulary usage and can be applied to teacher training.

• Asia-Pacific Journal of Business
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• v.14 no.4
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• pp.37-48
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• 2023

Purpose - This study aims to explore the influence of emotional discrepancies among investors on the cryptocurrency market. It focuses on how varying emotions affect market dynamics such as volatility and trading volume in the context of Bitcoin trading. Design/methodology/approach - This study involves analyzing data from Bitcointalk.org, consisting of 57,963 posts and 2,215,776 responses from November 22, 2009, to December 31, 2022. Tools used include the Linguistic Inquiry and Word Count (LIWC) software for classifying emotional content and the Python Pattern library for sentiment analysis. Findings - The results show that heterogeneous emotional feedback, whether positive or negative, significantly influences Bitcoin's intraday volatility, skewness, and trading volume. These findings are more pronounced when the underlying emotion in the feedback is amplified. Research implications or Originality - This study underscores the significance of emotional factors in financial decision-making, especially within the realm of social media. It suggests that investors and market strategists should consider the emotional landscape of online forums when making investment choices or formulating market strategies. The research also paves the way for future studies regarding the behavioral impact of emotions on the cryptocurrency market.

• Horticultural Science & Technology
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• v.28 no.6
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• pp.1039-1050
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• 2010

Carrot is one of the useful crops used abundantly in cooking in Western as well as Asia regions such as China and Korea. However, seed coats have hairs which should be removed to increase germination rate. Furthermore, because of seed hairs, farmers face several additional losses, such as time consumption, manpower, capital and so on, for seed handling. To prevent these problems, study of gene related hair formation using short-hair seed lines is required. We analyzed genes related to hair formation from seed through expressed sequenced tag (EST) profiling, based on the fact that the development of carrot seed hair is related to cellulose synthesis pathway in secondary cell wall synthesis stage. To study the gene expression related to hair formation of the carrot seed, a cDNA library was constructed by using the early maturation stage of the short-hair line (659-1) and hairy seed line (677-14). In short-hair (659-1) and hairy seed (677-14) lines, results from of EST profiling through BLASTX search analysis using the NCBI database showed that 172 and 224 unigenes had significant homology with known protein sequences, whereas 233 and 192 unigenes were not, respectively. All ESTs were grouped into 16 categories according to their putative functions. Twenty nine unigenes among all ESTs were considered to be genes regulating seed hair development from cellulose synthesis pathway during secondary cell wall synthesis stage; in results, 14 unigenes related to seed hair development were found only in hairy seed line.

• Journal of the Korean Society for Library and Information Science
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• v.55 no.1
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• pp.393-413
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• 2021

Digital humanities, which creates new and innovative knowledge through the combination of digital information technology and humanities research problems, can be seen as a representative multidisciplinary field of study. To investigate the intellectual structure of the digital humanities field, a network analysis of authors and keywords co-word was performed on a total of 441 papers in the last two years (2019, 2020) at the Digital Humanities Conference. As the results of the author and keyword analysis show, we can find out the active activities of Europe, North America, and Japanese and Chinese authors in East Asia. Through the co-author network, 11 dis-connected sub-networks are identified, which can be seen as a result of closed co-authoring activities. Through keyword analysis, 16 sub-subject areas are identified, which are machine learning, pedagogy, metadata, topic modeling, stylometry, cultural heritage, network, digital archive, natural language processing, digital library, twitter, drama, big data, neural network, virtual reality, and ethics. This results imply that a diver variety of digital information technologies are playing a major role in the digital humanities. In addition, keywords with high frequency can be classified into humanities-based keywords, digital information technology-based keywords, and convergence keywords. The dynamics of the growth and development of digital humanities can represented in these combinations of keywords.