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Helical coil electromagnetic launchers (HEMLs) using motion-induced commutation strategy solve the problem of synchronization control perfectly. HEMLs can meet the requirements of multiple applications such as the electromagnetic catapult, electromagnetic mortar and high-velocity coilgun. The trade-off between the velocity and efficiency is an important basis for these different applications. To optimize such objectives before actual design, the purpose of this paper is to focus on the efficient and flexible calculation model and algorithm. A novel structure of HEML is proposed after the transient simulation by this algorithm, which can improve the energy conversion efficiency and suppress the muzzle arc without affecting the velocity too much.

The equivalent circuit model of the launcher is established and the governing equations are derived. A combination of the four-stage Runge–Kutta method and the trapezoidal quadrature formula are used to solve the governing equations.

With smaller number of turns in the coils of HEML, the velocity is larger and the efficiency is lower. The non-uniform HEML is an effective option to improve the energy conversion efficiency and to suppress the muzzle arc with almost the same muzzle velocity as the conventional HEML.

The paper presents a common model and a flexible fast numerical method which can be used in multi-objective optimization of HEMLs such as the genetic algorithm. A new structure of the non-uniform HEML is proposed to improve the energy conversion efficiency and to suppress the muzzle arc of the launcher.

In this chapter, EYES theory proposes that international students view themselves and appraise their social standing of their own race based in relationship to extant social perceptions of racial stereotypes in the United States. These stereotypes are determined by geography which exude from the legacy of enslavement in the United States. EYES theory proposes that international students view racial differences through these dynamics by assessing their own identity in regards to race, colorsim and group identification. Specifically, international students use racial groups to classify, rank, and understand racial differences that are informed by these social geographies that impart a white/black racial discourse by which international students navigate their social status. EYES theory challenges the intellectual perception of heterogeneity among international students and in regards to race posits that international students experience mico and macrolevel contexts regarding race due to the socio-historical legacy of racism in the United States. The authors anticipate that EYES theory may have implications for study in other geographical contexts where a black white dichotomy serves as the parameter for understanding racial relationships and hegemony.

This paper aims to document how AI has changed the way consumers make decisions and propose how that change impacts services marketing, service research and service management.

A review of the literature, documentation of sales and customer service experiences support the evolution of bot-driven consumer decision-making, proposing the bot-driven service platform as a key component of the service experience.

Today the focus is on convenience, the less time and effort, the better. The authors propose that AI has taken convenience to a new level for consumers. By using bots as their service of choice, consumers outsource their decisions to algorithms, hence give little attention to traditional consumer decision-making models and brand emphasis. At the moment, this is especially true for low involvement types of decisions, but high involvement decisions are on the cusp of delegating to AI. Therefore, management needs to change how they view consumers’ decision-making-processes and how services are being managed.

In an AI-convenience driven service economy, the emphasis needs to be on search ranking or warehouse stock, rather than the traditional drivers of brand values such as service quality. Customer experience management will shift from interaction with products and services toward interactions with new service platforms such as AI, bots. Hence, service marketing, as the authors know it might be in decline and be replaced by an efficient complex attribute computer decision-making model.

The change in consumer behavior leads to a change in the service marketing approach needed in the world of AI. The bot, the new service platform is now in charge of search and choice for many purchase situations.

This paper sets out to investigate the meaning, role and implications of contextual information associated with digital collections.

This paper is based on an extensive review and analysis of both the scholarly literature from many disciplines about the concept of context and the professional literature (including standards) related to the description of information artifacts. The paper provides an analysis of context, distinguishing three main ways in which that term has been used within the scholarly literature. It then discusses contextual information within digital collections, and presents a framework for contextual information. It goes on to discuss existing standards and guidance documents for encoding information related to the nine classes of contextual entities, concluding with a discussion of potential implications for descriptive practices through the lifecycle of digital objects.

The paper presents a framework for contextual information that is based on nine classes of contextual entities: object, agent, occurrence, purpose, time, place, form of expression, concept/abstraction, and relationship.

Research and development about and in support of digital collections will benefit from a clear articulation of the types, roles, importance and elements of contextual information.

Future users of digital objects will probably have numerous tools for discovering preserved digital objects relevant to their interests, but making meaningful use and sense of the digital objects will also require capture, collection and management of contextual information.

This paper synthesizes and extends a previously diffuse literature, in order to clarify and articulate core concepts in the management of digital collections.

The purpose of this paper is to determine the antioxidant properties (capacity and component) of four non‐leafy vegetables. The correlation between the antioxidant capacity and its components of the studied vegetables was also assessed.

Winged beans, also known as four‐angled bean (Psophocarpus tetragonolobus), French bean (Phaseolus vulgaris), string bean (Vigna sinensis) and snow pea (Pisum sativum) were selected as samples from among the common non‐leafy vegetables consumed by Malaysians. These fresh vegetables were lyophilised and ground and their ethanolic extracts were prepared for antioxidant capacity assays and total phenolic, β‐carotene and ascorbic acid contents.

Among the vegetables, string beans showed the highest antioxidant capacity compared to the other vegetables studied (p < 0.05). The total phenolic, ascorbic acid and β‐carotene contents of snow peas were significantly higher (p < 0.05) than the other vegetables. There was a significant positive correlation between scavenging activity and antioxidant components studied. On the other hand, a negative correlation was found between antioxidant activity and its components of the studied vegetables.

Previous reports have indicated that vegetables contain high levels of antioxidants. However, data on antioxidant capacity of these non‐leafy vegetables are still lacking. This research paper shows the non‐leafy vegetables studied is a promising source of antioxidants with good antioxidant capacity. Beside that, along with the studied antioxidant components, other compounds in these vegetables could also contribute to their antioxidant capacity.

College classrooms are an important socializing site, preparing students to critically reflect upon their viewpoints and engage in democratic citizenship and civic leadership. Yet this very notion of educational environment can serve to produce racial inequality and ethnically and culturally blind pedagogical space. In this chapter, the author describes how students articulate their internalized social position and racism in a given college classroom and understands the process by which students’ sense of self is internalized and (re)constructed through the practice of reflective journaling.

The purpose of this article is to present an alternative theory to why publicly‐traded physician practice management companies in the US were popular and successful for a limited number of years and then essentially self‐destructed.

The short history of publicly‐traded practice management companies suggests that they had limited value and utility in the US healthcare industry. It is the premise of the paper that the sudden appearance these for‐profit companies upset the natural order within the healthcare industry and created a disequilibria which ultimately resulted in their demise. While Gaia theory is most commonly applied to the natural sciences, it has been applied to a number of interdisciplinary issues.

Physicians gravitated to these for‐profit companies either out of fear of encroaching managed care or out a desire to sell their practice to the highest bidder. Physician practice management companies, on the other hand, saw a way to entice stockholders to invest in a growth industry. The paper suggests that the physician practice management companies added little new value to the health care industry and applies Gaia theory as a possible explanation for this phenomena. Gaia theory was first postulated in 1979 to address the evolution of the material environment and corresponding organisms as a tightly coupled system which attempt to manipulate the environment for the purpose of creating biologically favorable conditions.

The paper is one of the first to suggest that the laws of nature, as understood from the perspective of Gaia theory, may have applicability to the US health care industry.