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Negative Poisson’s ratio (NPR) material has huge potential applications in various industrial fields. However, lower Young’s modulus due to the porous form limits its further applications. Based on the topology optimization technique, this paper aims to optimize the structure consisting two isotropic porous materials with positive Poisson’s ratio (PPR) and NPR and void.

Under prescribed dual-volume fraction constraints, the structural compliance is taken as the objective. Young’s modulus and Poisson’s ratio are, respectively, interpolated and expressed with Lamé’s parameters for easier programming. Accordingly, the sensitivities can be derived through the chain rule. Several two- and three-dimensional illustrative examples are presented to demonstrate the capability and effectiveness of the proposed approach. The influences of Poisson’s ratios, volume fractions and Young’s moduli on the optimized results are investigated.

For NPR materials having unique load responses, the resulting topologies of PPR and NPR materials have distinct material distributions in comparison of the results from two PPR materials. Furthermore, it is observed that higher structural stiffness can be achieved from the hybrid of PPR and NPR materials than that obtained from the structures made of individual constituent materials.

A topology optimization methodology is proposed to design structures composed of PPR and NPR materials.

The optimal material microstructures in pure material design are no longer efficient or optimal when accounting macroscopic structure performance with specific boundary conditions. Therefore, it is important to provide a novel multiscale topology optimization framework to tailor the topology of structure and the material to achieve specific applications. In comparison with porous materials, composites consisting of two or more phase materials are more attractive and advantageous from the perspective of engineering application. This paper aims to provide a novel concurrent topological design of structures and microscopic materials for thermal conductivity involving multi-material topology optimization (material distribution) at the lower scale.

In this work, the effective thermal conductivity properties of microscopic three or more phase materials are obtained via homogenization theory, which serves as a bridge of the macrostructure and the periodic material microstructures. The optimization problem, including the topological design of macrostructures and inverse homogenization of microscopic materials, are solved by bi-directional evolutionary structure optimization method.

As a result, the presented framework shows high stability during the optimization process and requires little iterations for convergence. A number of interesting and valid macrostructures and material microstructures are obtained in terms of optimal thermal conductive path, which verify the effectiveness of the proposed mutliscale topology optimization method. Numerical examples adequately consider effects of initial guesses of the representative unit cell and of the volume constraints of adopted base materials at the microscopic scale on the final design. The resultant structures at both the scales with clear and distinctive boundary between different phases, making the manufacturing straightforward.

This paper presents a novel multiscale concurrent topology optimization method for structures and the underlying multi-phase materials for thermal conductivity. The authors have carried out the concurrent multi-phase topology optimization for both 2D and 3D cases, which makes this work distinguished from existing references. In addition, some interesting and efficient multi-phase material microstructures and macrostructures have been obtained in terms of optimal thermal conductive path.

It is a huge technical and engineering challenge to realize the precise assembly of thousands of large optics in high power solid-state laser system. Using the 400-mm aperture-sized transport mirror as a case, this paper aims to present an intelligent numerical computation methodology for mounting performance analysis and modeling of large optics in a high-power laser system for inertial confinement fusion (ICF).

Fundamental principles of modeling and analysis of the transport mirror surface distortion are proposed, and a genetic algorithm-based computation framework is proposed to evaluate and optimize the assembly and mounting performance of large laser optics.

The stringent specifications of large ICF optics place very tight constraints upon the transport mirror’s assembly and mounts. The operational requirements on surface distortion [peak-to-valley and root mean square (RMS)] can be met as it is appropriately assembled by the close loop of assembly-inspection-optimization-fastening. In the end, the experimental study validates the reliability and effectiveness of the transport mirror mounting method.

In the assembly design and mounting performance evaluation of large laser optics, the whole study has the advantages of accurate evaluation and intelligent optimization on nano-level optical surface distortion, which provides a fundamental methodology for precise assembly and mounting of large ICF optics.

In pure material design, the previous research has indicated that lots of optimization factors such as used algorithm and parameters have influence on the optimal solution. In other words, there are multiple local minima for the topological design of materials for extreme properties. Therefore, the purpose of this study is to attempt different or more concise algorithms to find much wider possible solutions to material design. As for the design of material microstructures for macro-structural performance, the previous studies test algorithms on 2D porous or composite materials only, it should be demonstrated for 3D problems to reveal numerical and computational performance of the used algorithm.

The presented paper is an attempt to use the strain energy method and the bi-directional evolutionary structural optimization (BESO) algorithm to tailor material microstructures so as to find the optimal topology with the selected objective functions. The adoption of the strain energy-based approach instead of the homogenization method significantly simplifies the numerical implementation. The BESO approach is well suited to the optimal design of porous materials, and the generated topology structures are described clearly which makes manufacturing easy.

As a result, the presented method shows high stability during the optimization process and requires little iterations for convergence. A number of interesting and valid material microstructures are obtained which verify the effectiveness of the proposed optimization algorithm. The numerical examples adequately consider effects of initial guesses of the representative unit cell (RUC) and of the volume constraints of solid materials on the final design. The presented paper also reveals that the optimized microstructure obtained from pure material design is not the optimal solution any more when considering the specific macro-structural performance. The optimal result depends on various effects such as the initial guess of RUC and the size dimension of the macrostructure itself.

This paper presents a new topology optimization method for the optimal design of 2D and 3D porous materials for extreme elastic properties and macro-structural performance. Unlike previous studies, the presented paper tests the proposed optimization algorithm for not only 2D porous material design but also 3D topology optimization to reveal numerical and computational performance of the used algorithm. In addition, some new and interesting material microstructural topologies have been obtained to provide wider possible solutions to the material design.

This paper discusses the concept, definition and usage of Key Activity Indicators (KAIs) and their integration within a Performance Measurement and Management system (PMM).

The actual definition and application areas of the KAIs are determined through a systematic literature review. Successively, a thorough definition of Key Activity Indicators is provided, along with a set of criteria for their deployment. Lastly, a case involving a Large Scale Retail Trade (LSRT) company is reported to report an example for guiding KAIs adoption.

This research shows that the scientific background concerning KAIs is still not mature. Moreover, the paper defines the role of KAIs for measuring operational activities and their possible connection with Key Performance Indicators (KPIs).

Although KAIs have been introduced and discussed in the scientific literature; there is no evidence of criteria to deploy these indicators, leaving organizations without any guidance for their operational implementation.

From an academic standpoint, the study provides an overview of the usage of KAIs within the present scientific contributions, showing the advancements of this research field. From an industrial standpoint, the research proposes a set of criteria for the organizational deployment of KAIs.

The study investigates the concept of KAIs that, besides being originally conceived within World Class Manufacturing (WCM), has not received much attention in the scientific literature.

The analysis of manufacturer-supplier relationships in Japan has contributed significantly to the advancement of interorganizational theory. It has yielded broad evidence that long-term collaborative partnerships enable firms to exploit the incentive benefits of market-based exchange while reaping the learning and coordination benefits of internalization within a corporate hierarchy. In this paper, we go beyond the issues of trust and cooperation that have occupied much prior theory and research on supplier relations in considering another dimension along which collaborative agreements may be arrayed. We build on transaction and network theories, respectively, to propose two types of long-term collaborative ties: dyadic or bilateral governance and network embeddedness. A comparative analysis of collaborative relationships in product and process development between two Japanese TV manufacturing companies and their suppliers provides empirical evidence for the distinctive effect of network ties over dyadic relationships for collaborative knowledge-sharing.

The purpose of this study was to examine if team composition based on adaption-innovation (A-I) problem-solving styles is related to the teamwork quality and team effectiveness (TE) of student project teams participating in a [state-gifted program (SGP)].

A correlational design was conducted with a sample of 72 (SGP) participants, consisting of 15 project teams (n = 15), which formed three groups: (1) the homogeneous adaptive group, which consists of five homogeneous adaptive teams (n = 5); (2) the homogeneous innovative group, which consists of five homogeneous innovative teams (n = 5), and (3) the heterogeneous group (i.e. a mix of innovative and adaptive individuals), which consists of five heterogeneous teams (n = 5).

A one-way ANOVA and post-hoc test revealed that team composition based on problem-solving styles is related to teamwork quality and TE. Regarding TE, both homogeneous groups (i.e. all adaptive or all innovative individuals) were more effective than the heterogeneous group. However, regarding teamwork quality, only the adaptive group had significantly higher teamwork quality than the heterogeneous group.

We recommend that leadership educators utilize Kirton’s adaption-innovation inventory (KAI) as a tool for building effective student project teams. KAI can be used by leadership educators in two major ways: to assign students to groups (as done in the current study) or for team building, where team members share their KAI scores to better understand their problem-solving preferences.

The findings add to the literature by specifying the type of homogeneous groups (i.e. homogeneous adaptive), which may offer an advantage over heterogeneous groups regarding teamwork quality.

A survey of Japan's new religions (1) shows “ancestor worship” (2) to have played an important part in various religious bodies (3), as a means for attaining happiness for the living. Generally speaking, new religions advocate that the adequate veneration of ancestors leads them to enter a “blissful state”, as a result of which they can bring happiness to their living descendants (4). At the same time, the new religions also teach that lack of proper consolation for ancestors results in misfortune for the living (5). This tendency to put importance on ancestor worship is a particular feature of the Reiyu‐kai group of new religions which denotes those religious bodies which were established by schism within Reiyu‐kai (lit. the Spirit Friends' Society) and by the subsequent re‐splitting of those bodies (6) which resulted. The parent organization, Reiyu‐kai, is a large‐scale new religion of lay Nichiren origin (7), which was founded by Kakutaro Kubo and Kimi Kotani in 1925, and its doctrine of memorial rites for ancestors, concentrating on the combination of ancestor worship and faith as found in the Lotus Sutra, draws upon that of the Bussho Gonen movement founded by Toshizo Nishida (8).

The purpose of this paper is to examine advertising placed within Kai Tiaki: The Journal of Nurses of New Zealand. The periodization for this study is 1908-1929, a chronological time span and approach that incorporates the first issue of the Kai Tiaki in 1908 and ending 1929, thus representing the launch of the journal and first two decades of its production. During this period, New Zealand nursing was emerging as an organised and professionalised body of health-care workers. At the same time, New Zealand, Britain’s most distant “dominion”, was beginning to realise its own nationhood and growth.

The primary source of data was digitalised Kai Tiaki issues between 1908 and 1929. Each four issues for every year were analysed. All advertisements were coded (n = 1895), followed by a qualitative content analysis in which key themes were derived.

Five overarching themes were found. The two main themes were the proliferation of therapeutic “tonics” and the second the relationship of nurses to them that was profiled by advertisers. The three remaining themes were accommodations, lifestyle and the nurses “role” as nurse, handmaiden or mother. Conclusions discuss reasons for key findings, and, in particular, the reinforcement of the traditional nursing role, which was often at odds with the increased technological roles and responsibilities nurses were undertaking. In turn, advertisers saw the nursing profession as a new and potentially lucrative market of women with disposable income and influence in the health field.

To date, there is a scarcity of marketing analysis that examines advertising placed in trade journals and in particular for early twentieth century health-care professionals. Through a lens of advertising analysis, this study investigates the advertising nursing readership of the day was exposed to and the motives and tactics used by those interested in expanding both health-care worker and consumer markets through a singular strategy.

The Kirton Adaption‐Innovation Inventory and the Learning Styles Questionnaire were used as part of a wider investigation, reported in an earlier paper, to explore the influence of personality, discipline and organisational structure on the information behaviour of biochemists, entomologists and statisticians working at an agricultural research station (n = 67). Results from the psychometric tests were assessed in terms of the groups obtained from a cluster analysis. Groups identified by the KAI as Innovators and by the LSQ as Activists sought information more widely, more enthusiastically and from more diverse sources than other groups. Groups identified as Adaptors by the KAI and Reflectors by the LSQ, were more controlled, methodical and systematic in their information behaviour.