• International Journal of Internet, Broadcasting and Communication
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• v.16 no.2
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• pp.203-208
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• 2024

The convergence of deep learning and smart factory is drawing a lot of attentions from not only industrial but also academic circles. The objective of this article is to quantitatively review on deep learning and smart factory from 2010 to 2023. This research analyzed the 138 articles, extracted from the Core Collection of Web of Science, in terms of four dimensions such as the main trend in article publications, the main trend in article citations, the distribution of article publications by research area, and the keywords representing the main contents of published articles. The quantitative review results reveal the following four points: First, the article publications drastically grew from 2019 to 2022 in its annual trend. Second, the article citations have rapidly grown since 2018. Third, Engineering, Computer Science, and Telecommunications are the top 3 research areas composing the 138 articles. Fourth, it is the top 10 keywords such as 'deep', 'learning', 'smart', 'detection', factory', 'data', 'system', 'manufacturing', 'neural', and 'network' that represent the main contents of the 138 articles published from 2010 to 2023 in deep learning and smart factory. These findings revealed by this quantitative review will be significantly useful for deepening and widening relevant future research on deep learning and smart factory.

• Journal of Arbitration Studies
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• v.16 no.3
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• pp.53-89
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• 2006

At its thirty-second session(Vienna, 17 May-4 June 1999), the UNCITRAL decided that the priority items for the Working Group(Arbitration and Conciliation) should include enforceability of interim measures and the requirement of written (on for the arbitration agreement. The Working Group, at its forty-third session(Vienna, 3-7 October 2005), it had undertaken a detailed review of the text of the revised article 17 of UNCTTRAL Model Law on International Commercial Arbitration, and it had resumed discussions on a draft model legislative provision revising article 7, paragraph (2) of UNCITRAL Model Law. The purpose of this paper is to make research on the contents and issues of the draft legislative provisions on interim measures and preliminary orders, and on the form of arbitration agreement which the Working Group discussed and adopted at its forth-fourth session(New York, 23-27 January 2006). The draft legislative provisions on interim measures and preliminary orders are composed of the following provisions : Article 17-power of arbitral tribunal to order interim measures; article 17 bis-conditions for granting interim measures; article 17 ter-applications for preliminary orders and conditions for granting preliminary orders; article 17 quater-specific regime for preliminary orders; article 17 quinquies- modification, suspension, termination; article 17 sexies-provision of security; article 17 septies-disclosure; article 17 octies-costs and damages; article 17 novies recognition and enforcements; article 17 decies-grounds for refusing recognition or enforcement; article 17 undecies-court-ordered interim measures. There are the following issues in the draft legislative provisions on interim measures and preliminary orders : form of issuance of an interim measures in article 17(2); conditions for granting interim measures in article 17 bis; purpose, function and legal regime of preliminary orders in article 17 ter; obligation of arbitral tribunal to give notice, and non-enforceability of preliminary orders in article 17 quater; burden of proof, interplay between article 17 decies and article 34, and decision on the recognition and enforcement of the interim measures in article 17 decies; placement of article 17 undecies; amendment of scope exception of application in article 1(2). The draft legislative provisions on the form of arbitration agreement are composed of the following provisions : article 7(1) definition of arbitration agreement; article 7(2) arbitration agreement in writing; article 7(3) arbitration agreement if its terms(content) are (is) recorded in any form; article 7(4) arbitration agreement by an electronic communication; article 7(5) arbitration agreement in an exchange of statements of claim and defence; article 7(6) reference to any document containing an arbitration clause. There are the following issues in the draft legislative provisions on the form of arbitration agreement : arbitration agreement in writing in article 7(2); terms or contents of arbitration agreement in article 7(3); arbitration agreement by electronic communication in article 7(4); existence of arbitration agreement in article 7(5); reference to any document containing an arbitration clause in article 7(6); the alternative proposal on article 7; amendment to article 35(2).

• Journal of Public Diplomacy
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• v.2 no.1
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• pp.28-42
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• 2022

The aim of this article is to rethink the role of international trade as a public diplomacy tool by considering the uncertainties that stem from political tensions. The main contribution made in this article is theoretical rather than statistical. However, we analyze trade and public opinion data to study the relationship between both factors. Using Latinobarometer, a cross-sectional survey that collects public opinion data from Latin America, this article analyses public opinion toward the United States and China. One of the main takeaways from this study is that, despite its potential to showcase political stability, public diplomacy undervalues 'unintended consequences' of international trade relations. This article takes up international trade as an unintended, but arguably effective, resource to be developed for the practice of public diplomacy. Findings presented in this article do not claim causation between trade and opinion, something that can be explored by further research, but rather introduce new questions for further research on the public diplomacy of trade relations.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.55
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• pp.3-32
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• 2012

CISG article 74 establishes the general formula applicable in all cases where an aggrieved party is entitled to recover damages. It provides that damages for breach of contract comprise all losses, including loss of profits, caused by the breach, to the extent that these losses were foreseeable by the breaching party at the time the contract was concluded. An aggrieved party may claim under article 74 even if entitled to claim under article 75 or 76. The latter articles explicitly provide that an aggrieved party may recover additional damages under article 74. Articles 75 and 76 apply only in cases where the contract has been avoided. Article 75 measures damages concretely by reference to the price in a substitute transactions, while article 76 measures damages abstractly by reference to the current market price. Article 76 (1) provides that an aggrieved party may not calculate damages under article 76 if it has concluded a substitute transaction under article 75. If however, an aggrieved party concludes a substitute transaction for less than the contract quantity, both articles 75 and 76 may apply. Pursuant to article 77, damages recoverable under articles 74, 75 or 76 are reduced if it is established that the aggrieved party failed to mitigate losses. The reduction is the amount by which the loss should have been mitigated. Article 78 entitles a party to interest on the price and any other sum that is in arrears.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.3
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• pp.388-393
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• 2024

The convergence of machine learning and smart farm is becoming more and more important. The purpose of this research is to quantitatively analyze machine learning and smart farm with bibliographic data from 2013 to 2023. This study analyzed the 251 articles, filtered from the Web of Science, with regard to the article publication trend, the article citation trend, the top 10 research area, and the top 10 keywords representing the articles. The quantitative analysis results reveal the four points: First, the number of article publications in machine learning and smart farm continued growing from 2016. Second, the article citations in machine learning and smart farm drastically increased since 2018. Third, Computer Science, Engineering, Agriculture, Telecommunications, Chemistry, Environmental Sciences Ecology, Material Science, Instruments Instrumentation, Science Technology Other Topics, and Physics are top 10 research areas. Fourth, it is 'machine learning', 'smart farming', 'internet of things', 'precision agriculture', 'deep learning', 'agriculture', 'big data', 'machine', 'smart' and 'smart agriculture' that are the top 10 keywords composing authors' keywords in the articles in machine learning and smart farm from 2013 to 2023.

• Hip & pelvis
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• v.34 no.2
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• pp.87-95
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• 2022

Purpose: The aim of this study is to identify highly cited articles and examine trends and characteristics in research on periacetabular osteotomy. Materials and Methods: The 50 most highly cited articles on periacetabular osteotomy research were identified using Scopus. Data regarding article demographics and publication were collected from each article and an analysis was performed. Results: The mean citation count was 125±37. The article with the highest total citation count (796), five-year citation count (327), and five-year citation density (65/year) was reported by Reinhold Ganz. The five-year citation density showed strong correlation with total citation density (r=0.930, P<0.001). Reinhold Ganz, the most productive author, was listed on 13 articles in the cohort with 455 weighted citation points. Conclusion: This study provides a collection of articles examining periacetabular osteotomies and demonstrates that citation count can be regarded as an acceptable measure of the contemporary academic influence of an article.

• Journal of Information Science Theory and Practice
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• v.7 no.4
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• pp.33-44
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• 2019

Altmetrics measure the frequency of references about an article on social media platforms, like Twitter. This paper studies a variety of factors that affect the popularity of articles (i.e., the number of article mentions) in the field of psychology on Twitter. Firstly, in this study, we classify Twitter users mentioning research articles as academic versus non-academic users and experts versus non-experts, using a machine learning approach. Then we build a negative binomial regression model with the number of Twitter mentions of an article as a dependant variable, and nine Twitter related factors (the number of followers, number of friends, number of status, number of lists, number of favourites, number of retweets, number of likes, ratio of academic users, and ratio of expert users) and seven article related factors (the number of authors, title length, abstract length, abstract readability, number of institutions, citation count, and availability of research funding) as independent variables. From our findings, if a research article is mentioned by Twitter users with a greater number of friends, status, favourites, and lists, by tweets with a large number of retweets and likes, and largely by Twitter users with academic and expertise knowledge on the field of psychology, the article gains more Twitter mentions. In addition, articles with a greater number of authors, title length, abstract length, and citation count, and articles with research funding get more attention from Twitter users.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.13
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• pp.537-561
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• 2000

In these days, there are various types of fraud in L/C transaction. But we has no article on fraud in the UCP. So the matter of fraud has been depended on the judgement of court of each country. But the judgements are different in each case. These cause the difficulties in practice. To solve this problem, it is desirable to insert the relative article in the UCP. I considered the article 5-109 of UCC for pre-study on this matter. But the article 5-109 of UCC has some problems. To arrange the relative article on fraud in the UCP, we have to consider more severely on article 5-109 of UCC. Especially, it should be studied on cases in practice. This is left for next study.

• Journal of the Korean housing association
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• v.2 no.2
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• pp.41-53
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• 1991

This study discussed the change of housing environmental problems from the early 1900s to the present.The reason is to find the solution of serious housing environment problems. The documentary research method was used for this study.Articles of content analysis(N= 1129)were published in 1920(the first edition)to December. 31, 1990 which were The Dong - A daily news article about housing environment. The main content of this study was examined the change, such as the number of whole article by time series and importance of article(column number of article), classification of article subject, and the number of article by subject. On the basis of this data, was made by chronological classification of the change of housing environment problems for 70 years. Since overall results will become supply of right information about housing environment to fur peoples, will provide the oppronment that oneself ran participate the protection of housing environment, and further will take a part solution of housing environment problems.At the future, I am going to design deep analysis of article content by subject.

• Asian Journal of Innovation and Policy
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• v.12 no.3
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• pp.304-322
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• 2023

Text data mining ('big data methods') is one of the most widely used approaches during the COVID-19 pandemic. In particular, text data mining on Scopus databases or Web of Science (WoS). Text data mining is widely used to collect literature for later bibliometric analysis, and in the end, it becomes a literature review article. Therefore, in this article, we reveal the trend of publication of literature reviews in Scopus journals from Indonesia, Japan, South Korea, Vietnam, Singapore, and Malaysia. This article describes two essential parts, namely 1) a comparison of international publication trends and subject area of literature review publications, and 2) a comparison of Top 5 for Authors, Affiliation, Source Title, and Collaboration Country.