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The purpose of this paper is to answer for questions regarding vertical specialization in the Korea’s key exporting industries, such as the changing pattern toward VS or VS1 and the changing trend in the location of slicing up the value chain in these industries.

The framework of Koopman et al. (2014) is adopted to calculate the industry-level vertical specialization indices, VS and VS1.

VS1 is a dominant type of vertical specialization in the key exporting industries of Korea. The increasing net vertical trades (VS1−VS) verifies the upward trends in the locations of slicing up the value chain in the industries empirically.

The net vertical trade (VS1−VS) of each industry is an important indicator of the location of slicing up the value chain in the environment of the international production network.

The industry-level calculations of VS and VS1 are necessary in order to remedy the aggregation bias from the country-level calculation of VS and VS1 functioning in the opposite direction.

SINCE 1945 discussion of international standards for the fundamentals of civil aviation has been going on in the divisions and council of I.C.A.O. A highly controversial part of the airworthiness and operational legislation has been the relatively small section dealing with performance requirements. A considerable amount of time and money has been spent in the study and development of these requirements, and it is opportune at this moment to review the way in which the work has progressed and its importance to civil operations for the future.

THE performance of civil aircraft having pure jet engines as opposed to turbine‐propeller engines will be considered since it is thought that for the latter the methods usually adopted for piston‐engined aircraft are on the whole applicable. It will be assumed that the performance of the jet engine (i.e. its thrust and fuel consumption at various r.p.m., forward speeds and altitudes) is given and that the aerodynamic properties of the aircraft in its various configurations are known.

This paper sets out to provide a new systems theory supporting requisite holism and innovation in organizations of the public sector, such as medical care.

Mulej's dialectical systems theory is applied.

Currently, the many existing systems theories are applied in separation rather than in synergy. Here, a fourth attempt to make a new systems theory in Slovenia is presented: after the dialectical system theory, the dialectical network thinking, and the business cybernetics this is the control systems theory.

Research was limited to management of public health care and attainment of the requisite holism in it.

Managerial efficiency and processes in organizations with a rather small influence of the market pressure can be innovated more easily.

This is the first attempt, to the best of one's knowledge, to make a new synergy of the dialectical systems, living systems, and viable systems theories as potentially complementary systems theories and three methodologies supporting informal requisite holism of thinking, decision making and action.

The purpose of this paper is to develop a simulation tool which permits reducing the cost of long time‐range simulation of complex converters and running at high frequency.

A different method is used to represent a simplified converter but the adopted technique uses the average representation of the cell converter.

The paper shows that the use of averaged representation of the pulse width modulation switch in multilevel converters is staying applied. The main advantage of the proposed averaged model is its simplified representation when only electrical behaviour is considered.

The analytical algorithm of the averaged model can be introduced in different simulator as it has a description language, enabling study of the Compatibilité Electromagnétique and electrothermal phenomena.

This paper presents an averaged model of the multilevel converter which can be implemented in any simulator as it has a description language.

The purpose of this paper is to document for the first time the vertical specialization structure of the global pharmaceutical value chain.

The paper adopts Wang et al.’s (2013) gross exports decomposition method to trace foreign values in bilateral trade between major pharmaceutical producers, using the 2014 WIOT database.

The paper shows that as in other sectoral value chains, the pharmaceutical value chain is heavily regional. The paper identifies a strong European regional value chain, and a less intensive, Asian regional value chain. Korea is positioned in the middle of the Asian value chain, and is connected to the European regional value chain as a second-tier supplier.

The paper documents the vertical specialization structure of the global pharmaceutical value chain through gross exports decomposition method, making use of the World Input–Output Table Database 2014 which disaggregates pharmaceuticals in its industry classification for the first time.

The purpose of this paper is to design and implement new tracking and summarization algorithms for Chinese news content. Based on the proposed methods and algorithms, the authors extract the important sentences that are contained in topic stories and list those sentences according to timestamp order to ensure ease of understanding and to visualize multiple news stories on a single screen.

This paper encompasses an investigational approach that implements a new Dynamic Centroid Summarization algorithm in addition to a Term Frequency (TF)-Density algorithm to empirically compute three target parameters, i.e., recall, precision, and F-measure.

The proposed TF-Density algorithm is implemented and compared with the well-known algorithms Term Frequency-Inverse Word Frequency (TF-IWF) and Term Frequency-Inverse Document Frequency (TF-IDF). Three test data sets are configured from Chinese news web sites for use during the investigation, and two important findings are obtained that help the authors provide more precision and efficiency when recognizing the important words in the text. First, the authors evaluate three topic tracking algorithms, i.e., TF-Density, TF-IDF, and TF-IWF, with the said target parameters and find that the recall, precision, and F-measure of the proposed TF-Density algorithm is better than those of the TF-IWF and TF-IDF algorithms. In the context of the second finding, the authors implement a blind test approach to obtain the results of topic summarizations and find that the proposed Dynamic Centroid Summarization process can more accurately select topic sentences than the LexRank process.

The results show that the tracking and summarization algorithms for news topics can provide more precise and convenient results for users tracking the news. The analysis and implications are limited to Chinese news content from Chinese news web sites such as Apple Library, UDN, and well-known portals like Yahoo and Google.

The research provides an empirical analysis of Chinese news content through the proposed TF-Density and Dynamic Centroid Summarization algorithms. It focusses on improving the means of summarizing a set of news stories to appear for browsing on a single screen and carries implications for innovative word measurements in practice.

Sustainable development calls for concerted efforts towards building an inclusive, sustainable and resilient future for people and planet. The approach that considers sustainable development as the fight against poverty, through the promotion of a sustainable and equitable economy, as the attempt to reduce polluting emissions to promote environmental protection and as the satisfaction of social goals to increase the well-being of populations is adopted. Sustainability development is therefore a complex and subjective concept, considering the three dimensions that define the phenomenon: economic, environmental and social.

The authors have chosen subjective variables, which provide information on the perception of the ‘sustainable development’ in the European countries. Data come from the database of ‘Eurofound’, the European Foundation for the Improvement of Living and Working Conditions. The authors applied a formative measurement model, according to which indicators are considered as the cause of the phenomenon analysed, unlike with the reflective model. To conduct the quantitative analysis, the authors have adopted a non-compensatory approach: Mazziotta and Pareto index which summarising a set of individual indicators that are assumed to be not fully substitutable. The authors place at the centre of the analysis, variables deriving from the perceptive state of the different European populations, offering new hints to measure sustainable development on the basis of subjective assumptions.

NOTIS is an online library management system that integrates the public access catalog, cataloging, acquisitions, serials management, authority control, and circulation. All NOTIS modules access a single bibliographic record through automatically‐generated full‐heading indexes.

The purpose of this study is to identify and prioritize capabilities and practices to ensure a resilient supply chain during an unexpected disruption. In addition, this study ranks maturity factors that influence the main capabilities identified.

This paper is conducted in three stages. First, capabilities and practices are extracted through a literature review. Second, capabilities and practices are ranked using the analytical hierarchical process method. Third, a gray technique for order preference by similarity to ideal solution method is used to rank maturity factors influencing capabilities.

The findings indicate that responsiveness, readiness, flexibility and adaptability are the most important capabilities for supply chain resilience. Also, commitment and communication are the highest maturity factors influencing resilience capabilities.

The findings provide a hierarchical vision of capabilities and practices for industries to increase resilience. Limitations of the paper are related to capabilities, practices and number of experts consulted.

This paper highlights the importance of high-maturity practices in resilience capability adoption. The findings of this study will encourage decisions-makers to increase maturity practices to build resilience against disruption.

The paper reveals that developing powerful capabilities, good practices and a high level of maturity improve supply chain resilience.