scholarly journals Are The Independent Area of Beef Cattle Development Ready for Big Data to Reduce the Volume of Imports?

2021 ◽  
Vol 04 (11) ◽  
Author(s):  
N. P. Sari ◽  
Keyword(s):  
Big Data ◽  
Data Integration ◽  
Beef Cattle ◽  
Good Alternative ◽  
Digital Data ◽  
Limited Information ◽  
Interconnected System ◽  
Mature Phase ◽  
Phase Data ◽  
The Government

Stakeholders find it difficult to make decisions for both breeders and supporting sectors due to unorganized agribusiness data on beef cattle, it seems very limited information on it. The activities related to this business have not been recorded well, from male selection, feed management, cultivation, as well as marketing and traceability—these factors have caused price disparities in meat to become commonplace. Thus, a model of breeder empowerment is needed through big data maturity. Data play a crucial role in the planning and development of agriculture and agribusiness. The results of the analysis on efforts to digitalize and integrate data on beef cattle business confirm that the progress stops at the Nascent phase. Data digitalization at the Agency for Agriculture Extension of Kediri is at the Nascent phase, while at the Department of Food Security and Livestock Service is in between the Nascent and pre-adoption phase. Data integration in other agencies, such as the Regional Central Bureau of Statistics of Kediri, the Regional Information and Communication Office of Kediri, and the Directorate General of Livestock, fall into the corporate adoption and mature phase. As can be seen, data have not been well-integrated within one interconnected system. The availability of such a model of data integration will be a good alternative in empowering breeders of beef cattle and the public sector, it will also find communication easier with the existence of the model. The government eventually will be able to better improve performance based on the digital data available.

scholarly journals From Big Data to Mask Diplomacy: Taiwan’s Effort to Strengthen International Role

2020 ◽  
Vol 14 (2) ◽  
pp. 189
Author(s):  
A. Safril Mubah ◽  
Sarah Anabarja
Keyword(s):  
Big Data ◽  
Global Health ◽  
Data Integration ◽  
Local Level ◽  
Quick Response ◽  
Geographic Proximity ◽  
Positive Image ◽  
Global Action ◽  
The Government ◽  
International Role

Dengan mengandalkan ketahanan domestik tanpa dukungan komunitas internasional, Taiwan yang terkucil dari pergaulan dunia berhasil mengendalikan pandemi COVID-19. Meskipun Taiwan memiliki kedekatan geografis dengan China yang menjadi pusat bermulanya wabah COVID-19, negara ini hanya mencatatkan 467 total kasus COVID-19 yang terkonfirmasi hingga 31 Juli 2020. Melalui respons cepat berbasiskan integrasi mahadata, Taiwan mampu mencegah penularan COVID-19 yang lebih luas. Ketika situasi kesehatan domestik telah terkendali, Taiwan mulai melancarkan aksi global dengan mendonasikan masker medis ke berbagai negara. Diplomasi masker merupakan upaya yang ditempuh Taiwan untuk meraih citra positif di panggung dunia. Dalam artikel ini, penulis menemukan bahwa keberhasilan strategi Taiwan dalam menangani pandemi di tingkat domestik mendorong Taipei berupaya terlibat aktif dalam tata-kelola kesehatan global demi meningkatkan peran internasionalnya. Namun, upaya itu terhadang oleh isolasi diplomatik yang terus dilakukan China sejak Tsai Ing-wen menjabat sebagai presiden pada 2016. Untuk membahas isu tersebut, artikel ini terbagi menjadi tiga bagian. Pertama, kecepatan respons Taiwan dalam mencegah penularan COVID-19. Kedua, ketepatan strategi Taiwan dalam menyelesaikan pandemi sehingga melejitkan citra negara ini di tataran global. Ketiga, tantangan Taiwan untuk meningkatkan peran internasional di tengah isolasi diplomatik.Kata-kata Kunci: kecepatan respons, integrasi mahadata, diplomasi masker, peran internasional.As a diplomatically isolated country, Taiwan cannot lie to the international community in combating the COVID-19 pandemic. This situation is supposed to be obstacles for Taiwan, but the country can successfully control the COVID-19 pandemic thanks to its domestic resilience. Despite its geographic proximity with China, Taiwan has only confirmed 467 COVID-19 total cases by July 31, 2020. Through quick response based on big data integration, Taiwan has prevented COVID-19 from spreading around the country. While Taiwan can control its domestic situation, the government begins to launch global action for donating medical masks to many countries. Through mask diplomacy, Taiwan is expected to gain a positive image on the globe. Following its success in dealing with the pandemic at the local level, Taiwan is getting involved in global health order to improve its international role. However, this effort is challenged by diplomatic isolation imposed by China since President Tsai Ing-wen was in her office in 2016. This paper examines the issue and consists of three sections—first, Taiwan’s quick response in preventing COVID-19 transmission. Second, Taiwan’s strategy in dealing with the pandemic. Third, Taiwan’s challenges in improving its international roles.Keywords: quick response, big data integration, mask diplomacy, international role.

Airborne geophysical surveys in Greenland in 1998

1999 ◽  
pp. 34-38 ◽  
Author(s):  
Thorkild M. Rasmussen ◽  
Leif Thorning
Keyword(s):  
High Resolution ◽  
Geophysical Data ◽  
Digital Data ◽  
Geological Survey ◽  
Magnetic Data ◽  
Magnetic Survey ◽  
Original Series ◽  
Geophysical Surveys ◽  
The Government

NOTE: This article was published in a former series of GEUS Bulletin. Please use the original series name when citing this article, for example: Rasmussen, T. M., & Thorning, L. (1999). Airborne geophysical surveys in Greenland in 1998. Geology of Greenland Survey Bulletin, 183, 34-38. https://doi.org/10.34194/ggub.v183.5202 _______________ Airborne geophysical surveying in Greenland during 1998 consisted of a magnetic project referred to as ‘Aeromag 1998’ and a combined electromagnetic and magnetic project referred to as ‘AEM Greenland 1998’. The Government of Greenland financed both with administration managed by the Geological Survey of Denmark and Greenland (GEUS). With the completion of the two projects, approximately 305 000 line km of regional high-resolution magnetic data and approximately 75 000 line km of detailed multiparameter data (electromagnetic, magnetic and partly radiometric) are now available from government financed projects. Figure 1 shows the location of the surveyed areas with highresolution geophysical data together with the area selected for a magnetic survey in 1999. Completion of the two projects was marked by the release of data on 1 March, 1999. The data are included in the geoscientific databases at the Survey for public use; digital data and maps may be purchased from the Survey.

Airborne geophysical surveys in Greenland – 1996 update

1997 ◽  
pp. 75-79
Author(s):  
Robert W. Stemp
Keyword(s):  
Mineral Exploration ◽  
Geological Mapping ◽  
Digital Data ◽  
Magnetic Survey ◽  
Aeromagnetic Survey ◽  
West Greenland ◽  
South West ◽  
Geophysical Surveys ◽  
The Government ◽  
Airborne Geophysical Data

NOTE: This article was published in a former series of GEUS Bulletin. Please use the original series name when citing this article, for example: Stemp, R. W. (1997). Airborne geophysical surveys in Greenland – 1996 update. Geology of Greenland Survey Bulletin, 176, 75-79. https://doi.org/10.34194/ggub.v176.5069 _______________ Two major airborne geophysical surveys were carried out in 1996, the third year of a planned five-year electromagnetic and magnetic survey programme (project AEM Greenland 1994–1998) financed by the Government of Greenland, and the second year of an aeromagnetic survey programme (project Aeromag) jointly financed by the governments of Denmark and Greenland; both projects are managed by the Geological Survey of Denmark and Greenland (GEUS). The two 1996 surveys were: 1) Project Aeromag 1996 in South-West and southern West Greenland;2) Project AEM Greenland 1996 in South-West Greenland. All areas surveyed and planned for future surveys as of March 1997 are shown in Figure 1. Results of both the 1996 surveys were released in March 1997, as a continuation of a major effort to make high quality airborne geophysical data available for both mineral exploration and geological mapping purposes. The data acquired are included in geoscientific databases at GEUS for public use; digital data and maps may be purchased from the Survey. The main results from the 1996 surveys are described in Thorning & Stemp (1997) and Stemp (1997). Two further new airborne surveys have already been approved for data acquisition during the 1997 field season, with subsequent data release in March 1998. A summary of all surveys completed, in progress or planned since the formal inception of project AEM Greenland 1994–1998 is given in Table 1. The programme was expanded to include a separate regional aeromagnetic survey in 1995, provisionally for 1995–1996, with extension subject to annual confirmation and funding.

scholarly journals Flavin Adenine Dinucleotide-Dependent Halogenase XanH and Engineering of Multifunctional Fusion Halogenases

2020 ◽  
Vol 86 (18) ◽  
Author(s):  
Lingxin Kong ◽  
Qing Wang ◽  
Zixin Deng ◽  
Delin You
Keyword(s):  
Protein Engineering ◽  
Fusion Protein ◽  
Natural Product ◽  
Flavin Adenine Dinucleotide ◽  
High Efficiency ◽  
Genetic Manipulation ◽  
Good Alternative ◽  
Limited Information ◽  
Flavin Reductase ◽  
Free Standing

ABSTRACT Xantholipin (compound 1), a polycyclic xanthone antibiotic, exhibited strong antibacterial activities and showed potent cytotoxicity. The biosynthetic gene cluster of compound 1 has been identified in our previous work, and the construction of xanthone nucleus has been well demonstrated. However, limited information of the halogenation involved in compound 1 biosynthesis is available. In this study, based on the genetic manipulation and biochemical assay, we characterized XanH as an indispensable flavin adenine dinucleotide (FAD)-dependent halogenase (FDH) for the biosynthesis of compound 1. XanH was found to be a bifunctional protein capable of flavin reduction and chlorination and exclusively used the NADH. However, the reduced flavin could not be fully and effectively utilized, and the presence of an extra flavin reductase (FDR) and chemical-reducing agent could promote the halogenation. XanH accepted its natural free-standing substrate with angular fused polycyclic aromatic systems. Meanwhile, it exhibited moderate halogenation activity and possessed high substrate specificity. The requirement of extra FDR for higher halogenation activity is tedious for future engineering. To facilitate efforts in engineering XanH derivative proteins, we constructed the self-sufficient FDR-XanH fusion proteins. The fusion protein E1 with comparable activities to that of XanH could be used as a good alternative for future protein engineering. Taken together, these findings reported here not only improve the understanding of polycyclic xanthones biosynthesis but also expand the substrate scope of FDH and pave the way for future engineering of biocatalysts for new active substance synthesis. IMPORTANCE Halogenation is important in medicinal chemistry and plays an essential role in the biosynthesis of active secondary metabolites. Halogenases have evolved to catalyze reactions with high efficiency and selectivity, and engineering efforts have been made to engage the selective reactivity in natural product biosynthesis. The enzymatic halogenations are an environmentally friendly approach with high regio- and stereoselectivity, which make it a potential complement to organic synthesis. FDHs constitute one of the most extensively elucidated class of halogenases; however, the inventory awaits to be expanded for biotechnology applications and for the generation of halogenated natural product analogues. In this study, XanH was found to reduce flavin and halogenated the freely diffusing natural substrate with an angular fused hexacyclic scaffold, findings which were different from those for the exclusively studied FDHs. Moreover, the FDR-XanH fusion protein E1 with comparable reactivity to that of XanH serves as a successful example of genetic fusions and sets an important stage for future protein engineering.

scholarly journals A News Big Data Analysis of Issues in Higher Education in Korea amid the COVID-19 Pandemic

2021 ◽  
Vol 13 (13) ◽  
pp. 7347
Author(s):  
Jangwan Ko ◽  
Seungsu Paek ◽  
Seoyoon Park ◽  
Jiwoo Park
Keyword(s):  
Higher Education ◽  
Big Data ◽  
Data Analysis ◽  
College Education ◽  
Big Data Analysis ◽  
Second Phase ◽  
Public Attention ◽  
Job Market ◽  
Media Reports ◽  
The Government

This paper examines the main issues regarding higher education in Korea—where college education experienced minimal interruptions—during the COVID-19 pandemic through a big data analysis of news articles. By analyzing policy responses from the government and colleges and examining prominent discourses on higher education, it provides a context for discussing the implications of COVID-19 on education policy and what the post-pandemic era would bring. To this end, we utilized BIgKinds, a big data research solution for news articles offered by the Korea Press Foundation, to select a total of 2636 media reports and conducted Topic Modelling based on LDA algorithms using NetMiner. The analyses are split into three distinct periods of COVID-19 spread in the country. Some notable topics from the first phase are remote class, tuition refund, returning Chinese international students, and normalization of college education. Preparations for the College Scholastic Ability Test (CSAT), contact and contactless classes, preparations for early admissions, and supporting job market candidates are extracted for the second phase. For the third phase, the extracted topics include CSAT and college-specific exams, quarantine on campus, social relations on campus, and support for job market candidates. The results confirmed widespread public attention to the relevant issues but also showed empirically that the measures taken by the government and college administrations to combat COVID-19 had limited visibility among media reports. It is important to note that timely and appropriate responses from the government and colleges have enabled continuation of higher education in some capacity during the pandemic. In addition to the media’s role in reporting issues of public interest, there is also a need for continued research and discussion on higher education amid COVID-19 to help effect actual results from various policy efforts.

scholarly journals DaLiF: a data lifecycle framework for data-driven governments

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Syed Iftikhar Hussain Shah ◽  
Vassilios Peristeras ◽  
Ioannis Magnisalis
Keyword(s):  
Big Data ◽  
Data Management ◽  
Good Governance ◽  
Business Community ◽  
Data Driven ◽  
Governmental Organizations ◽  
Data Lifecycle ◽  
The Government ◽  
Data Ecosystem ◽  
Governance Transparency

AbstractThe public sector, private firms, business community, and civil society are generating data that is high in volume, veracity, velocity and comes from a diversity of sources. This kind of data is known as big data. Public Administrations (PAs) pursue big data as “new oil” and implement data-centric policies to transform data into knowledge, to promote good governance, transparency, innovative digital services, and citizens’ engagement in public policy. From the above, the Government Big Data Ecosystem (GBDE) emerges. Managing big data throughout its lifecycle becomes a challenging task for governmental organizations. Despite the vast interest in this ecosystem, appropriate big data management is still a challenge. This study intends to fill the above-mentioned gap by proposing a data lifecycle framework for data-driven governments. Through a Systematic Literature Review, we identified and analysed 76 data lifecycles models to propose a data lifecycle framework for data-driven governments (DaliF). In this way, we contribute to the ongoing discussion around big data management, which attracts researchers’ and practitioners’ interest.

Big Data in the philippines: How do we actually use them?

2021 ◽  
pp. 1-30
Author(s):  
Lisa Grace S. Bersales ◽  
Josefina V. Almeda ◽  
Sabrina O. Romasoc ◽  
Marie Nadeen R. Martinez ◽  
Dannela Jann B. Galias
Keyword(s):  
Big Data ◽  
High Speed ◽  
The Philippines ◽  
Complex Data ◽  
Official Statistics ◽  
Group Discussions ◽  
The Public ◽  
The Government ◽  
The Many ◽  
Current Utilization

With the advancement of technology, digitalization, and the internet of things, large amounts of complex data are being produced daily. This vast quantity of various data produced at high speed is referred to as Big Data. The utilization of Big Data is being implemented with success in the private sector, yet the public sector seems to be falling behind despite the many potentials Big Data has already presented. In this regard, this paper explores ways in which the government can recognize the use of Big Data for official statistics. It begins by gathering and presenting Big Data-related initiatives and projects across the globe for various types and sources of Big Data implemented. Further, this paper discusses the opportunities, challenges, and risks associated with using Big Data, particularly in official statistics. This paper also aims to assess the current utilization of Big Data in the country through focus group discussions and key informant interviews. Based on desk review, discussions, and interviews, the paper then concludes with a proposed framework that provides ways in which Big Data may be utilized by the government to augment official statistics.

Evaluation Model for Big Data Integration Tools

2019 ◽  
pp. 601-610 ◽  
Author(s):  
Ângela Alpoim ◽  
Tiago Guimarães ◽  
Filipe Portela ◽  
Manuel Filipe Santos
Keyword(s):  
Big Data ◽  
Data Integration ◽  
Evaluation Model

Prospects for Cooperation Between Russia and the Republic of Korea in the Fields of Big Data, Network and Artificial Intelligence for the Development of the Digital Economy

2021 ◽  
Vol 65 (8) ◽  
pp. 51-60
Author(s):  
Yujeong Kim
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Large Scale ◽  
Technology Development ◽  
Technological Development ◽  
Digital Economy ◽  
Republic Of Korea ◽  
Data Network ◽  
Leading Position ◽  
The Government

Today, each country has interest in digital economy and has established and implemented policies aimed at digital technology development and digital transformation for the transition to the digital economy. In particular, interest in digital technologies such as big data, 5G, and artificial intelligence, which are recognized as important factors in the digital economy, has been increasing recently, and it is a time when the role of the government for technological development and international cooperation becomes important. In addition to the overall digital economic policy, the Russian and Korean governments are also trying to improve their international competitiveness and take a leading position in the new economic order by establishing related technical and industrial policies. Moreover, Republic of Korea often refers to data, network and artificial intelligence as D∙N∙A, and has established policies in each of these areas in 2019. Russia is also establishing and implementing policies in the same field in 2019. Therefore, it is timely to find ways to expand cooperation between Russia and Republic of Korea. In particular, the years of 2020and 2021marks the 30th anniversary of diplomatic relations between the two countries, and not only large-scale events and exchange programs have prepared, but the relationship is deepening as part of the continued foreign policy of both countries – Russia’s Eastern Policy and New Northern Policy of Republic of Korea. Therefore, this paper compares and analyzes the policies of the two countries in big data, 5G, and artificial intelligence to seek long-term sustainable cooperation in the digital economy.

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