• Title/Summary/Keyword: Library Promise Analysis

Search Result 7, Processing Time 0.021 seconds

An Analysis of Candidates' Library-field Promise in the Local Election (지방선거 후보자들의 도서관분야 공약 분석)

  • Kim, Sun-Ae
    • Journal of the Korean BIBLIA Society for library and Information Science
    • /
    • v.22 no.1
    • /
    • pp.155-170
    • /
    • 2011
  • The purpose of this study was to analyze whether the promises of library field were, what the promises of candidates were, and whether the content of the promises showed the dissimilar tendency or discrepancy. The starting point of this study was that the library-related issues should be raised in the local election in order that library-related problems in the local area were considered as the policy. The standpoint of this research was based on the notion the library-related problems could be settled if the candidates have an interest in the library field. The range of this research was limited in the election conducted in June 2. 2010. Candidates' promises were collected through a questionnaire, categorized and analyzed by subject. According to the result of analysis, the most candidates had interest in establishing of library infrastructure, on the other hand they had no interest in collection development, library policy, allocation of budget, and job creation for librarian.

Analysis of Digital Achilles Tendon of Scholarly Journals (학술지의 디지털 아킬레스건 분석)

  • 윤희윤
    • Journal of Korean Library and Information Science Society
    • /
    • v.34 no.4
    • /
    • pp.43-66
    • /
    • 2003
  • Nowadays many academic libraries have considered and some have implemented the just-in-time(access) approach to collection development especially of scholarly journals. The adaption of the scholarly electronic journal based on access paradigm has brought a number of advantages and disadvantages to academic libraries. Electronic journals have promised rapid delivery of the latest research to the desktop through the ubiquitous platform of the Internet. But the promise of the e-journal is not yet a reality, and there are many misconceptions about what is actually available today. The objective of this paper is to analyse the probabilities of digital achilles tendon of scholarly journals resulting from a decline of purchase power, absence of selection(evaluation) criteria, superfluities and abuses of impact factor, access paradigm and halo effects, mismatching of demand-supply, md insufficiency in subject gateway functions.

  • PDF

Analysis and Proposals Concerning Big Deals of Scholarly Journals (학술지 빅딜판매의 문제점 및 개선 방안)

  • Shin, Eun-Ja
    • Journal of the Korean Society for Library and Information Science
    • /
    • v.41 no.1
    • /
    • pp.373-389
    • /
    • 2007
  • The most remarkable business model to Have merged in electronic publishing is the so-called 'Big Deal'. Major Publishers have begun offering libraries bundled packages that are across journals and across print and electronic versions. This paper examined consortium conditions of scholarly journals in the light of big deal. The result skewed that various pricing models have been appeared and freedoms to choose collections have been on the increase in comparison with the past. But many major Publishers have adopted a typical big deal contract condition that a library enters into a long-term arrangement to get access to large electronic journal collections at a dramatic discount interchange of a promise not to cut print subscriptions. The publishing and library communities need to find alternative pricing models that provide better deals for those disadvantaged by the prevalence of the big deal. Much in the world of scholarly publication is changing, combination of traditional publishing and open access publishing may well be gained public favor in the future.

Analysis of Library Related Campaign Promises of the Candidates for the Heads of Metropolitan Governments and the Superintendents of Education (광역자치단체장 및 교육감 후보자들의 도서관 관련 공약 분석 - 제1~6회 전국동시지방선거를 중심으로 -)

  • Cho, Yong-Wan
    • Journal of Korean Library and Information Science Society
    • /
    • v.49 no.1
    • /
    • pp.149-171
    • /
    • 2018
  • The aim of this study is to investigate the library related campaign promises of the candidates for the heads of metropolitan governments and the superintendents of education between 1st and 6th nationwide local election in Korea. To do this, the library related campaign promises of 346 candidates were analyzed by analysing the official gazettes for elections digitally archived in National Election Commission of Korea. As a result, the campaign promises of the candidates were insufficient both in quality and quantity. The candidates for the heads of metropolitan governments showed low ratio of the library related campaign promises, excessive concentration on construction or installation of libraries and higher preference for small libraries than public libraries. The candidates for the superintendents of education showed relatively balanced distribution of the election promises on library fields. But the campaign promises related public libraries were insufficient and the campaign promises of school libraries did not reflect the major elements of school libraries and the context of school libraries in Korea.

Efficacy and Safety of Selumetinib Compared with Current Therapies for Advanced Cancer: a Meta-analysis

  • Shen, Chen-Tian;Qiu, Zhong-Ling;Luo, Quan-Yong
    • Asian Pacific Journal of Cancer Prevention
    • /
    • v.15 no.5
    • /
    • pp.2369-2374
    • /
    • 2014
  • Background and Aim: Selumetinib is a promising and interesting targeted therapy agent as it may reverse radioiodine uptake in patients with radioiodine-refractory differentiated thyroid cancer. We conduct this metaanalysis to compare the efficacy and safety of selumetinib with current therapies in patients with advanced cancer. Methods: An electronic search was conducted using PubMed/ Medicine, EMBASE and Cochrane library databases. Statistical analyses were carried out using either random-effects or fixed-effects models according to the heterogeneity of eligible studies. Results: Six eligible trials involved 601 patients were identified. Compared with current therapies, treatment schedules with selumetinib did not improve progression free survival (hazard ratio, 0.91; 95%CI 0.70-1.17, P= 0.448), but did identify better clinical benefits (odds ratio, 1.24; 95%CI 0.69-2.24, P = 0.472) and less disease progression (hazard ratio, 0.72; 95%CI 0.51-1.00, P = 0.052) though its impact was not statistically significant. Sub-group analysis resulted in significantly improved progression free survival (hazard ratio, 0.61; 95%CI 0.49-0.57, P = 0.00), clinical benefits (odds ratio, 3.04; 95%CI 1.60-5.77, P = 0.001) and reduced disease progression (hazard ratio, 0.35; 95%CI 0.18-0.67, P = 0.001) in patients administrated selumetinib. Dermatitis acneiform (risk ratio, 9.775; 95%CI 3.143-30.395, P = 0.00) and peripheral edema (risk ratio, 2.371; 95%CI 1.690-3.327, P = 0.00) are the most frequently observed adverse effects associated with selumetinib. Conclusions: Compared with current chemotherapy, selumetinib has modest clinical activity as monotherapy in patients with advanced cancer, but combinations of selumetinib with cytotoxic agents in patients with BRAF or KRAS mutations hold great promise for cancer treatment. Dermatitis acneiform and peripheral edema are the most frequently observed adverse effects in patients with selumetinib.

Mutation Analysis of Synthetic DNA Barcodes in a Fission Yeast Gene Deletion Library by Sanger Sequencing

  • Lee, Minho;Choi, Shin-Jung;Han, Sangjo;Nam, Miyoung;Kim, Dongsup;Kim, Dong-Uk;Hoe, Kwang-Lae
    • Genomics & Informatics
    • /
    • v.16 no.2
    • /
    • pp.22-29
    • /
    • 2018
  • Incorporation of unique barcodes into fission yeast gene deletion collections has enabled the identification of gene functions by growth fitness analysis. For fine tuning, it is important to examine barcode sequences, because mutations arise during strain construction. Out of 8,708 barcodes (4,354 strains) covering 88.5% of all 4,919 open reading frames, 7,734 barcodes (88.8%) were validated as high-fidelity to be inserted at the correct positions by Sanger sequencing. Sequence examination of the 7,734 high-fidelity barcodes revealed that 1,039 barcodes (13.4%) deviated from the original design. In total, 1,284 mutations (mutation rate of 16.6%) exist within the 1,039 mutated barcodes, which is comparable to budding yeast (18%). When the type of mutation was considered, substitutions accounted for 845 mutations (10.9%), deletions accounted for 319 mutations (4.1%), and insertions accounted for 121 mutations (1.6%). Peculiarly, the frequency of substitutions (67.6%) was unexpectedly higher than in budding yeast (~28%) and well above the predicted error of Sanger sequencing (~2%), which might have arisen during the solid-phase oligonucleotide synthesis and PCR amplification of the barcodes during strain construction. When the mutation rate was analyzed by position within 20-mer barcodes using the 1,284 mutations from the 7,734 sequenced barcodes, there was no significant difference between up-tags and down-tags at a given position. The mutation frequency at a given position was similar at most positions, ranging from 0.4% (32/7,734) to 1.1% (82/7,734), except at position 1, which was highest (3.1%), as in budding yeast. Together, well-defined barcode sequences, combined with the next-generation sequencing platform, promise to make the fission yeast gene deletion library a powerful tool for understanding gene function.

An AutoML-driven Antenna Performance Prediction Model in the Autonomous Driving Radar Manufacturing Process

  • So-Hyang Bak;Kwanghoon Pio Kim
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.17 no.12
    • /
    • pp.3330-3344
    • /
    • 2023
  • This paper proposes an antenna performance prediction model in the autonomous driving radar manufacturing process. Our research work is based upon a challenge dataset, Driving Radar Manufacturing Process Dataset, and a typical AutoML machine learning workflow engine, Pycaret open-source Python library. Note that the dataset contains the total 70 data-items, out of which 54 used as input features and 16 used as output features, and the dataset is properly built into resolving the multi-output regression problem. During the data regression analysis and preprocessing phase, we identified several input features having similar correlations and so detached some of those input features, which may become a serious cause of the multicollinearity problem that affect the overall model performance. In the training phase, we train each of output-feature regression models by using the AutoML approach. Next, we selected the top 5 models showing the higher performances in the AutoML result reports and applied the ensemble method so as for the selected models' performances to be improved. In performing the experimental performance evaluation of the regression prediction model, we particularly used two metrics, MAE and RMSE, and the results of which were 0.6928 and 1.2065, respectively. Additionally, we carried out a series of experiments to verify the proposed model's performance by comparing with other existing models' performances. In conclusion, we enhance accuracy for safer autonomous vehicles, reduces manufacturing costs through AutoML-Pycaret and machine learning ensembled model, and prevents the production of faulty radar systems, conserving resources. Ultimately, the proposed model holds significant promise not only for antenna performance but also for improving manufacturing quality and advancing radar systems in autonomous vehicles.