6,509 research outputs found

    DEVELOPING HUMAN RESOURCES OF ETHNIC MINORITIES IN THE MOUNTAINOUS AREA OF NGHE AN PROVINCE, VIETNAM IN THE CONTEXT OF THE IMPACT OF THE 4.0 INDUSTRIAL REVOLUTION

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    The Fourth Industrial Revolution has been developing strongly, with a profound and comprehensive impact on all aspects and areas of social life. The development of science and technology and production forces on a global scale with new speed and quality has been promoting the world economy to shift to a knowledge economy, bringing new scientific achievements - technology is applied to optimize the process of production, distribution, exchange, consumption, management, and administration. That poses new requirements for developing human resources in general and training and using high-quality ethnic minority human resources in Vietnam. In recent years, developing and improving the quality of human resources of ethnic minorities in mountainous areas has always been of concern to Nghe An province, Vietnam. In the coming time, the development of human resources for ethnic minorities in the mountainous regions of Nghe An province, Vietnam, will be an essential and urgent issue that requires feasible strategies and solutions to meet the requirements, facing the increasing challenges of the revolution industry 4.0.  Article visualizations

    The Right Way to be Human in Quốc Âm Thi Tập of Nguyen Trai and its Significance to Vietnam’s Modern Society

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    Nguyen Trai–a national hero, an excellent culturist, a judicious politician, an outstanding military counsellor, a genius diplomat and a great poet.The article does not aim to present the whole concept of Nguyen Trai, but rather to analyze his concept of the right way to be human in his work “Quốc âm thi tập” (Collected poems in the National Language) and from there put forward its significance in Vietnam’s modern society. Keywords: Collected poems in the National Language; The right way to be human; Wanting a peaceful life; Loyalty to the king -Patriotism

    REQUIREMENTS IN THE PROCESS OF BUILDING A CONTINGENT OF ETHNIC MINORITY CADRES IN THE MOUNTAINOUS AREAS OF NGHE AN PROVINCE, VIETNAM

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    Nghe An is a province in Vietnam, with 10 mountainous districts and 1 mountainous town, accounting for 83.31% of the province's natural area. The mountainous area of Nghe An is a place with complicated and dangerous terrain and poor infrastructure; the lowest human development index (HDI) in the province; economic situation is extremely difficult, but it is a place with an important strategic position in terms of socio-economic development and protection of national border security. Therefore, building a contingent of ethnic minority cadres has a very important position and role in the development of the mountainous area of Nghe An. However, the work of building a contingent of ethnic minority cadres in mountainous districts of Nghe An currently has many shortcomings and limitations that need to be overcome, and possible solutions are needed so that the construction building a contingent of ethnic minority cadres in mountainous areas to achieve good results in the coming time.  Article visualizations

    A Census of Star-Forming Galaxies at z = 1-3 in the Subaru Deep Field

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    Several UV and near-infrared color selection methods have identified galaxies at z = 1-3. Since each method suffers from selection biases, we have applied three leading techniques (Lyman break, BX/BM, and BzK selection) simultaneously in the Subaru Deep Field. This field has reliable ({\Delta}z/(1 + z) = 0.02--0.09) photometric redshifts for ~53,000 galaxies from 20 bands (1500{\AA}--2.2{\mu}m). The BzK, LBG, and BX/BM samples suffer contamination from z<1 interlopers of 6%, 8%, and 20%, respectively. Around the redshifts where it is most sensitive (z~1.9 for star-forming BzK, z~1.8 for z~2 LBGs, z~1.6 for BM, and z~2.3 for BX), each technique finds 60-80% of the census of the three methods. In addition, each of the color techniques shares 75-96% of its galaxies with another method, which is consistent with previous studies that adopt identical criteria on magnitudes and colors. Combining the three samples gives a comprehensive census that includes ~90% of z-phot = 1-3 galaxies, using standard magnitude limits similar to previous studies. In fact, we find that among z = 1-2.5 galaxies in the color selection census, 81-90% of them can be selected by just combining the BzK selection with one of the UV techniques (z~2 LBG or BX and BM). The average galaxy stellar mass, reddening and SFRs all decrease systematically from the sBzK population to the LBGs, and to the BX/BMs. The combined color selections yield a total cosmic SFR density of 0.18 ±\pm 0.03 M_sun yr^{-1} Mpc^{-3} for K_AB <= 24. We find that 65% of the star formation is in galaxies with E(B-V) > 0.25 mag, even though they are only one-fourth of the census by number.Comment: 26 pages, 30 figures, 9 tables, emulateapj format. Modified to match the final ApJ versio

    Data Transformation and Semantic Log Purging for Process Mining

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    Existing process mining approaches are able to tolerate a certain degree of noise in the process log. However, processes that contain infrequent paths, multiple (nested) parallel branches, or have been changed in an ad-hoc manner, still pose major challenges. For such cases, process mining typically returns "spaghetti-models", that are hardly usable even as a starting point for process (re-)design. In this paper, we address these challenges by introducing data transformation and pre-processing steps that improve and ensure the quality of mined models for existing process mining approaches. We propose the concept of semantic log purging, the cleaning of logs based on domain specific constraints utilizing semantic knowledge which typically complements processes. Furthermore we demonstrate the feasibility and effectiveness of the approach based on a case study in the higher education domain. We think that semantic log purging will enable process mining to yield better results, thus giving process (re-)designers a valuable tool

    Requirements towards Effective Process Mining

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    Process mining is prominent contemporary research topic. This paper describes requirements to be fulfilled for effective practical adoption on the basis of application scenarios and a sample project
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