• Title/Summary/Keyword: Unprecedented

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Unconventional Answers to Unprecedented Challenges: The Swedish Experience During the COVID-19 Outbreak

  • Valeriani, Giuseppe;Vukovic, Iris Sarajlic;Mollica, Richard
    • Journal of Preventive Medicine and Public Health
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    • v.53 no.4
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    • pp.233-235
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    • 2020
  • Since its early stages, the coronavirus disease 2019 (COVID-19) pandemic has posed immense challenges in meeting the public health and healthcare and social care needs of migrants. In line with other reports from United Kingdom and United States, data from Sweden's health authority show that migrants have been disproportionately affected by COVID-19. Following the World Health Organization's statements, as well as the European Public Health Association's call for action, several centres in Sweden's most populated areas have activated tools to implement national plans for community outreach through initiatives targeting migrants and ethnic minority groups. Unconventional means should be promoted to mitigate the impact of COVID-19 on migrants and the health of the public at large.

Optoelectronics based on 2D semiconductor heterostructures

  • Lee, Cheol-Ho
    • Proceedings of the Korean Vacuum Society Conference
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    • 2016.02a
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    • pp.101.1-101.1
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    • 2016
  • Van der Waals (vdW) heterostructures built from two-dimensional layered materials provide an unprecedented opportunity in designing new material systems because the lack of dangling bonds on the vdW surfaces enables the creation of high-quality heterointerfaces without the constraint of atomically precise commensurability. In particular, the ability to build artificial heterostructures, combined with the recent advent of transition metal dichalcogenides, allows the fabrication of unique semiconductor heterostructures in an ultimate thickness limit for fundamental studies as well as novel device applications. In this talk, we will present the characterization of the electronic and optoelectronic properties of atomically thin p-n junctions consisting of vertically stacked WSe2 and MoS2 monolayers. We observed gate-tunable diode-like current rectification and a photovoltaic response across the p-n interface. Unlike conventional bulk p-n junctions, the tunneling-assisted interlayer recombination of the majority carriers is responsible for the tenability of the charge transport and the photovoltaic response. Furthermore, we will discuss the enhanced optoelectronic characteristics in graphene-sandwiched vdW p-n junctions.

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In Vitro and Cell Imaging-Based Analysis of Protease Activity Using Nanoparticles (나노입자를 활용한 In vitro 및 세포이미징 기반 단백질분해 효소활성 분석법)

  • Kim, Gae Baik;Kim, Young-Pil
    • Ceramist
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    • v.21 no.3
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    • pp.204-215
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    • 2018
  • Proteases are one of the most abundant classes of enzymes in living organisms and have been considered major targets for drug development. However, despite the ability to specifically cleave their substrates, many attempts to assay protease activity have generally relied upon the use of gel zymography or fluorophore-labeled peptide substrates, which is limited in rapid and multiplex analysis. Here we review the recent advances in nanoparticle (NP)-utilized assays of protease activity focused on in vitro and cell imaging-based approaches. Owing to large surface area and unprecedented physical properties of NPs, these approaches are anticipated to facilitate many applications related to protease activity-based disease diagnosis and drug discovery.

A Study on the Voltage Sag During the EVs Charging Considering Domestic Data (국내 데이터를 고려한 전기 자동차 충전 시 순시전압강하에 관한 연구)

  • Go, Hyo-Sang;Kim, Jun-Hyeok;Kim, Eung-Sang;Kim, Chul-Hwan
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.29 no.1
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    • pp.37-46
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    • 2015
  • In order to charge EVs, they have to be connected to distribution system. Therefore, if unprecedented numbers of EVs are connected to power systems, it could result in deterioration of power quality, overload, and other system problems. In this paper, the effects of voltage sag on the distribution system due to the connection of EVs is evaluated by considering related field data of Republic of Korea such as the number of gasoline-fueled vehicles, seasonal load of power system and the monthly and daily real-time traffic volume. The distribution system and EVs are modeled using the Electro Magnetic Transients Program (EMTP).

An Empirical Analysis of Worldwide Cyberinfrastructure

  • Cho, Manhyung
    • Asian Journal of Innovation and Policy
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    • v.4 no.3
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    • pp.381-396
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    • 2015
  • Cyberinfrastructure is a research infrastructure that provides an environment in which research communities can get access to distributed resources and collaborate at unprecedented levels of computation, storage, and network capacity. The Worldwide LHC Computing Grid (WLCG) is a global collaborative project of computing or data centers that enables access to scientific data generated by the Large Hadron Collider (LHC) experiments at CERN. This case study analyzes the WLCG as a model of cyberinfrastructure in research collaboration. WLCG provides a useful case of how cyberinfrastructure can work in providing an infrastructure for collaborative researches under data-intensive paradigm. Cyberinfrastructure plays the critical role of facilitating collaboration of diverse and widely separated communities of researchers. Data-intensive science requires new strategies for research support and significant development of cyberinfrastructure. The sustainability of WLCG depends on the resources of partner organizations and virtual organizations at international levels, essential for research collaboration.

Current Status and Trend of Data Mining Techniques (데이터 마이닝 기법의 현황 및 추세)

  • 오승준;송영덕;오민근
    • KSCI Review
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    • v.8 no.2
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    • pp.67-74
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    • 2001
  • Recent times have seen an explosive growth in the availability of various kinds of data. It has resulted in an unprecedented opportunity to develop automated data-driven techniques of extracting useful knowledge. Data mining. an important step in this process of knowledge discovery consists of methods that discover interesting. non-trivial and useful Patterns hidden in the data In this paper. we surveyed data mining techniques. We find effective data mining techniques in applying real world. and suggest appropriate application area for the each techniques. We conclude the Paper with some research issues.

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The Major Issues on Pension Privatization: Lessons from Latin American Cases (연금 민영화에 관한 쟁점들: 남미 국가들의 사례를 중심으로)

  • Kim, Sin-Yeong
    • 한국사회복지학회:학술대회논문집
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    • 2004.04a
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    • pp.457-473
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    • 2004
  • This study purports to contribute to existing literatures and debates about the future of Korean public pension system by introducing the cases of pension privatization in eight Latin American countries. Following the Chilean reform in 1981, many Latin American nations to a varying degree replaced their public pension system with private one, and the performance of those private systems started to emerge. Overall, pension privatization does not appear to be the panacea that some of its advocates have argued. While it seems to remedy existing problems, it is creating new ones. As an unprecedented policy experiment, the pension privatization in many Latin American countries implies that there are a number of risks in the path of privatization.

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Convolution and Deconvolution Algorithms for Large-Volume Cosmological Surveys

  • Park, KeunWoo;Rossi, Graziano
    • The Bulletin of The Korean Astronomical Society
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    • v.40 no.2
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    • pp.50.4-51
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    • 2015
  • Current and planned deep multicolor wide-area cosmological surveys will map in detail the spatial distribution of galaxies and quasars over unprecedented volumes, and provide a number of objects with photometric redshifts more than an order of magnitude bigger than that of spectroscopic redshifts. Photometric information is statistically more significant for studying cosmological evolution, dark energy, and the expansion history of the universe at a fraction of the cost of a full spectroscopic survey, but intrinsically carries a bias due to noise in the distance estimates. We provide convolution- and deconvolution-based algorithms capable of removing this bias -- thus able to exploit the full cosmological information -- in order to reconstruct intrinsic distributions and correlations between distance-dependent quantities. We then show some direct applications of our techniques to the VIMOS Public Extragalactic Redshift Survey (VIPERS) and the Sloan Digital Sky Survey (SDSS) datasets. Our methods impact a broader range of studies, when at least one distance-dependent quantity is involved; hence, they will be useful for upcoming large-volume surveys, some of which will only have photometric information.

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A Study on Development of Business Model in Independent Business for Ontology System (온톨로지 시스템의 구축을 위한 1인 기업 비즈니스 모델 개발에 관한 연구)

  • Choi, Myeong-Gil;Jeon, Min-Jun
    • Journal of Information Technology Applications and Management
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    • v.19 no.2
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    • pp.39-57
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    • 2012
  • Business environment goes through an unprecedented massive shift that has never happened before. For that reason, business models have to be designed to considering the changed environments. This study develops a business model for independent business to build an ontology system. The system has potentials to improve existing independent business models and to provide more detailed and precise information for users as relevant data accumulates. The ontology system helps independent business meet market demands, generate income for founders, and increase society-wide income levels. The results of the study provides insights to build ontology systems for new starting enterprises running their business.

The expanding reach of the GAL4/UAS system into the behavioral neurobiology of Drosophila

  • Jones, Walton D.
    • BMB Reports
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    • v.42 no.11
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    • pp.705-712
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    • 2009
  • Our understanding of the relationships between genes, brains, and behaviors has changed a lot since the first behavioral mutants were isolated in the fly bottles of the Benzer lab at Caltech (1), but Drosophila is still an excellent model system for studying the neurobiology of behavior. Recent advances provide an unprecedented level of control over fly neural circuits. Efforts are underway to add to existing GAL4-driver lines that permit exogenous expression of genetic tools in small populations of neurons. Combining these driver lines with a variety of inducible UAS lines permits the visualization of neuronal morphology, connectivity, and activity. These driver lines also make it possible to specifically ablate, inhibit, or activate subsets of neurons and assess their roles in the generation of behavioral responses. Here, I will briefly review the extensive arsenal now available to drosophilists for investigating the neuronal control of behavior.