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During the last few decades, rising intra-regional volumes of trade as well as air passenger traffic have been key characteristics of Asia-Pacific’s economic development. Although conceptual and empirical linkages between rising levels of trade and air passenger flows are often assumed, relatively little is known about the potential causality in these parallels. In this chapter, we seek to empirically uncover this causality through the application of heterogeneous Time Series Cross Section Granger causality analysis for the period 1980–2010. Four scenarios are found amongst the different country-pairs: (1) there is no co-evolution, implying that both patterns develop independently (e.g. Japan–Australia); (2) there is ‘real’ co-evolution in that both patterns influence each other through feedback loops (e.g. South Korea–Philippines); (3) air passenger traffic is facilitated by trade (e.g., South Korea–Philippines); or (4) trade is facilitated by air passenger traffic (e.g. Australia–Malaysia). Some possible interpretations of this heterogeneity are discussed.

Among natural disasters, drought affected the most people worldwide during the past few decades (Obasi, 1994). Since the late 1970s, there has been a shift in El Niño-Southern Oscillation toward more warm events, closely related to a worldwide trend for intensified drought (Dai, Trenberth, & Karl, 1998). In particular, this trend was manifested as widespread droughts during 1999–2002 in the northern hemisphere (Lotsch, Friedl, Anderson, & Tucker, 2005), including Asia, and notably in Mongolia (Nandintsetseg, Shinoda, Kimura, & Ibaraki, 2010; Shinoda, Ito, Nachinshonhor, & Erdenetsetseg, 2007). The decade of 2000s has experienced increased vegetation degradation and wind erosion that resulted from decreased summer precipitation in wide areas of East Asia (Kurosaki, Shinoda, & Mikami, 2011a; Kurosaki, Shinoda, Mikami, & Nandintsetseg, 2011b). Furthermore, in general, projections of climate models have suggested that the frequency and intensity of extreme weathers will likely increase in the future (IPCC WG I, 2007). Given this background, it is vital to make an assessment of socioeconomic impacts of the extreme weathers and to develop proactive approaches to mitigating such impacts.

Generation Z in Japan, born between 1995 and 2010, has unique characteristics. First, they are pessimists, which is mainly because of the challenging environment in which they were raised, with long-lasting low economic growth and multiple natural disasters. Second, they are digital natives, with a high level of digital device literacy. Raised in a highly advanced technological environment, they benefit in various ways by leveraging such devices. Also, they value relationships with family and friends, forming very close intimate relationships with their parents and broad shallow relationships with their friends. These unique characteristics turn Generation Z into a careful spender in consumption, and a stability seeker in workplaces. As consumers, they are very knowledgeable using both online/offline information, thus, are very selective and cautious when spending their money trying to prepare for the possible risk in the future. As employees, they are less loyal to companies and value their private life higher than their work life. A guideline for targeting Generation Z in Japan is presented.

The aim of this paper is to propose a software reliability growth model based on stochastic differential equations for the integration testing phase of distributed development environment.

A client/server system (CSS), which is a new development method, has come into existence as a result of the progress of networking technology by UNIX systems. On the other hand, the effective testing method for distributed development environment has only a few presented. The method of software reliability assessment considering the interaction among software components in a distributed one is discussed.

Conventional software reliability growth models for system testing phase in distributed development environment have included many unknown parameters. Especially, the effective estimation method in terms of these unknown parameters, which means the proportion of the total testing‐load for the software component, has never been presented. This software reliability growth model can be easily applied in distributed software development, because the model has a simple structure.

This model is very useful for software developers in terms of practical reliability assessment in the actual distributed development environment.

The method of software reliability assessment considering the interaction among software components in distributed development environment is proposed. Additionally, several numerical examples for the actual data are presented.

The purpose of this paper is to present a comprehensive review on development and future trends in zinc oxide thin film transistors (ZnO TFTs). This paper presents the development of TFT technology starting from amorphous silicon, poly-Si to ZnO TFTs. This paper also discusses about transport and device modeling of ZnO TFT and provides a comparative analysis with other TFTs on the basis of performance parameters.

It highlights the need of high–k dielectrics for low leakage and low threshold voltage in ZnO TFTs. This paper also explains the effect of grain boundaries, trap densities and threshold voltage shift on the performance of ZnO TFT. Moreover, it also addresses the challenges like requirement of stable p-type ZnO semiconductor for various electronic applications and high value of ZnO mobility to meet growing demand of high-definition light emitting diode TV (HD-LED TV).

This review will motivate the readers to further investigate the conduction mechanism, best alternate for gate-dielectric and the deposition technique optimization for the enhancement of the performance of ZnO TFTs.

This is a literature review. The technological evolution of TFT in general and ZnO TFT in particular is presented in this paper.

Generation Z, including individuals born from the mid-1990s to the late 2000s, is said to be different from other generations before. Generation Z is said to be the generation of digital natives, with multiple identities; a worried and creative generation who value collaborative consumption; and a generation looking forward. The authors present here tentative observations of Generation Z in Asia using theoretical approaches and scientific backgrounds: the authors show how socialisation theory (parents and peer group) and technology (relationship with smartphones) offer meaningful perspectives to understand Generation Z behaviours in Asia. Finally, the authors ask some key questions about dealing with Generation Z in Asia in the field of smartphone use, consumer behaviour (shopping orientation), collaborative consumption (sharing), and work context.

This paper aims to investigate the phases of new product development within the design-driven innovation (DDI) process, the role of designers and collaborators in the process and how this process relates to some quality principles.

This study adopted a qualitative approach using Gioia methodology. In particular, four Italian manufacturing companies in the home appliances and furniture industry were selected, and data mainly collected through direct interviews were analysed through content analysis.

The new product development related to DDI includes the following phases: the company brief, the designer research, the concept of the designer, the design, legal protection, prototyping, production and the market launch. Designers play a strategic role in the above phases of DDI, but other actors also cooperate and some quality principles affect positively on the process. This study proposes a model for a DDI process in the home appliances and furniture sector.

Although this exploratory study was conducted on only four companies, it advances the DDI research in relation to new product development.

This study makes recommendations to entrepreneurs and managers on how to innovate successfully and to effectively manage designers and collaborators to ensure competition.

This analysis highlights that design-based innovation contributes to improving the quality of life of consumers.

To the best of the authors' knowledge, this is the first qualitative study to examine the phases of new product development in DDI process, the actors involved and relationship to quality principles for the Italian home appliances and furniture sector.

Gamma-aminobutyric acid (GABA) is a four-carbon and nonprotein amino acid, made by various microorganisms, especially lactic acid bacteria (LAB) and probiotics. GABA has various physiological roles, for instance, insomnia, depression, hypotensive activity as well as diuretic effects. The production of GABA-based foods is a favorable result from GABA’s biological and functional properties. The purpose of this study is to investigate different methods of improving GABA production in probiotics and LAB to select the superlative method and bacterial strain.

In this review paper, all articles from five electronic databases containing Google Scholar, Web of Science, PubMed, Scopus and Science Direct were considered from 2000 to January 11, 2023, with keywords “Optimization” OR “Enhance” OR “Increase” AND “Gamma-aminobutyric acid” OR “GABA” AND “Probiotics” OR “Lactic acid bacteria” and selected according to the purpose of the study.

It seems that among all the investigated methods, an effective fermentation procedure with optimal conditions including fermentation medium, 5 L; glutamic acid, 295 g/L; incubation temperature, 32°C; inoculum, 10% (v/v); and agitation, 100 rpm, after 48 h of fermentation led to producing 205,800 mg/L of GABA from the effective bacterial strain Lactobacillus brevis NCL912.

With a simple but optimized fermentation, L. brevis NCL912 can be used for the efficient GABA production in the pharmacy and food factories.

This paper aims to propose an efficient model for analysis of power electronic circuits with integrated magnetic components.

The inductance modeling technique is used as the traditional method for analyzing magnetic components. This model is simple and enough to generate for individual components, that is, an inductor and a transformer. However, it becomes difficult to realize this model for the integrated magnetic structures. This paper shows an appropriate model for individual magnetic components as well as integrated magnetic components and its application to magnetically coupled DC–DC converters. Gyrator–capacitor (G–C) modeling offers a unified, reasonable way of understanding the magnetic components commonly met with in power electronics and the other disciplines.

G–C model allows any electrical and magnetic circuit to be simultaneously simulated with circuit simulators. In this regard, this paper gives a complete simulation model and analysis as an illustrative example. There is no limitation of this paper or future works. The proposed G–C model can be applied to all power electronic circuits having integrated magnetic components.

In the proposed model, the magnetic circuit is converted to a pure electric circuit with capacitors and controlled sources; every winding is replaced with a pair of current controlled voltage sources, namely, a gyrator.