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STELLAR Computer Inc. today introduced the Application Visualization System (AVS), a next‐generation software system for rapid, easy visualization of scientific and engineering data. Ian Edmonds, Stellar's Corporate Vice President of Marketing, stated “With the announcement of AVS, Stellar has shifted the playing field: instead of wrestling with graphics programming interface standards such as PHIGS and GKS or proprietary interfaces such as GL2 and DORE™, customers now have the solution they were looking for all the time—graphics supercomputing without graphics programming”.

Bitcoin and Ethereum, although the most prominent cryptocurrencies, carry a high ticker price. Many investors carry an inherent bias against high price ticker securities and prefer only low prices securities. This paper aims to help market players generate adequate risk-adjusted returns by investing in only lower-priced cryptocurrencies.

The pairwise bivariate BEKK-GARCH (1,1) model is deployed to capture the short- and long-term volatility linkages between Litecoin, Stellar and Ripple from August 2015 to June 2020.

Litecoin is the most influential volatility sender in the basket of these three cryptocurrencies. The portfolio weights indicate that investors can create an optimized two asset portfolio with the lowest exposure to Stellar with Litecoin and Ripple. Market players with a long position in Ripple can have the cheapest hedge by shorting Stellar.

This study adds to the scant literature on the association between emerging cryptocurrencies and finding optimum portfolio weight and hedge ratios.

This paper seeks to understand how software systems and organisations co‐evolve in practice during an IS engagement. Seeks also to argue that complex adaptive system theory (CAS) provides an excellent lens to study the motor of co‐evolution due to its ability to frame the strategies and reinforcement models of actors and to illustrate this by recounting four narratives of the interaction, selection and adaptation of actors arising from a longitudinal case study of an IS engagement. Then sets out to consider how the complexity of the engagement emerges from the interrelationship of these narratives and how the adaptive behaviour of the various actors is both a response to and a driver of co‐evolution within the engagement.

An interpretive case study was undertaken to examine the implementation of a novel academic scheduling and resource allocation system at a research‐intensive Australian university. The research was conducted over ten months, employing ethnographic methods and semi‐structured interviews. This analysis is conducted within the theoretical framework of CAS.

By analysing this case study it is demonstrated how CAS can help designers and managers of IS engagements conceptualise the attendant complexities that they encounter. It is also demonstrated how complexity within IS engagements emerges through the interactions and goal‐seeking behaviour of actors employing a variety of context‐bound strategies within neighbourhoods, and how the adaptive behaviour of the various actors is both a response to and a driver of co‐evolution within the engagement.

This work builds on Organization Science, Vol. 10 Nos 3 and 5, by applying CAS theory to organisational and IS research on co‐evolution, where the findings are grounded in a longitudinal case study and not computational models.

Design/Methodology/Approach: This chapter applies tests associated with the adaptive market hypothesis (AMH) and Johansen cointegration test. AMH acknowledges the views of the efficient market hypothesis and behavioural finance approach.

Purpose: Cryptocurrencies are considered a new asset class by multiasset portfolio managers. Hence, we examine the AMH and cointegration in the cryptocurrency market to know whether select cryptocurrencies can be diversified.

Findings: We find that cryptocurrencies are efficient and there is a long-run relationship among constituent series, and there is no short-run causality derived from bitcoin, Ethereum and litecoin to bitcoin, while stellar and Dogecoin have short-run causality to bitcoin.

Originality/Value: This chapter is different from the existing one as this is the first study in which the AMH and Johansen cointegration test are applied to check the efficiency and relationship of Bitcoin, Ethereum, and Monero, Stellar, litecoin and Dogecoin.

Three myths of life on other celestial bodies are examined as potential motivators for space tourism. The historical myth of extraterrestrial planetary life was debunked by modern astronomy. The twentieth-century myth-like belief in the existence of stellar civilizations or extraterrestrial intelligence has engendered an extensive search for transmitted signals from such civilizations, but none have yet been detected. The post-modern myth of aliens visiting the Earth by unidentified flying objects, engendered new religious movements; however, it is silent about the aliens’ stellar origins, while the new religions do not encourage adherents to visit the aliens’ abodes. In the final analysis, none of the three myths offers an incentive for space travel and tourism.

This paper aims to demonstrate the impact of interstellar (IS) magnetic field on stellar shocks existence, shape and size in the stellar wind (SW) vs interstellar medium (ISM) numerical models.

Comparison of hydrodynamics (HD) and magnetohydrodynamic (MHD) models results with or without ISM magnetic field, its intensity and ISM parameters.

ISM magnetic field facilitates formation and stabilises bow shocks around all astrophysical objects. ISM magnetic field may also be one of the reasons for a bow shock existence around the Sun.

ISM magnetic field should be implemented in MHD and future kinetic numerical models of the SW interaction with ISM plasma.

This paper presents the results of HD and MHD models of bow shocks and the importance of ISM magnetic field implementation, according to astronomical bow shock observations. The study also presents a review of the most important papers showing the numerical results of bow shock formation.

The purpose of this paper is to report on how a grade level team in a Singapore primary school used lesson study to mediate the implementation of the English language national curriculum. It aims to explore how this process had mobilised different teachers’ knowledge, challenged their beliefs of teaching and student learning, and created impact on their learning and knowledge.

An interpretive qualitative study using a case study methodology was employed. Data collected included participant observations and individual interviews. Transcripts of lesson study discussions were open coded for the content of teacher discourse and the sources of influences on the teachers’ reasoning and action.

The findings indicate that each stage of the lesson process engaged teachers’ deliberative discourse differently and constituted their building a common inquiry stance into the problem of student learning in reading and writing, moving away from a lesson-based view to embracing a curriculum-based deliberation, and challenging their shared assumptions and enabling their learning to adopt the students’ lens in improving the research lesson.

This study provides an illustrative case on how teachers’ talk about work practices in lesson study mediated teacher learning in a group context. The study established the importance of an interconnected view of teacher interaction in lesson study that factored in the consideration of the influences at the teachers’ level and at the school’s level that enabled and/ or impeded a broader consideration of practice and richer conditions for the mentoring of novice teachers in the team.

The purpose of this paper is to present a novel synthetic index of two counts and mathematical model for researcher evaluation.

A synthetic index L for researcher evaluation considering both the total number of other citations (C) and nonacademic impact (I) and a synthetic evaluation model are proposed in this paper. C and I are verified impact indexes. According to investigation by Delphi method, researchers are divided into five different classes of “below average,” “average,” “good,” “excellent” and “stellar.” The threshold values for counts C of grey class “stellar” are determined by deep investigation. The possibility functions of the two counts C and I on four grey classes of “below average,” “average,” “good” and “excellent” are built.

The novel synthetic index of two counts and mathematical model for researcher evaluation provide a better way to conduct researcher assessment.

The synthetic index L presented in this paper can be used to evaluate a researcher. It's more reasonable than the current research assessment indexes such as the number of publications and the numbers of so-called high-quality journal publications and the amount of granted funds and so on. The synthetic index L reflects the actual value created by a researcher. No artificial maneuver can change them significantly.

A synthetic index L for researcher evaluation considering both the total number of other citations (C) and nonacademic impact (I) and a synthetic evaluation model are proposed in this paper.