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Shape optimization using the level-set method is one of the most effective automatic design tools for electromagnetic machines. While level-set method has the advantage of being able to suppress unfeasible shape, it has a weakness of being unable to handle complex topology changes such as perforate at material region. With this method, it is only possible to define simple connected topology, and it is difficult to determine the optimal shape which has holes. Therefore, it is important to efficiently expand the searching area in the optimization process with level-set method.

In this paper, the authors introduce the newly defined hole sensitivity which is based on concept of topological derivatives, and combine it with level-set method to effectively create holes in the search process. Furthermore, they consider a variable bandwidth of gray scale, which indicates the transition width between air and magnetic body and combine it with the hole creation method described above. With these methods, the authors aim to expand the searching area in comparison with the conventional level-set method.

As a result of applying the proposed methods to a magnetic shielding problem, the multi-layered shielding which effectively reduces the magnetic flux in the target area, is successfully produced.

The proposed methods enable us to effectively create a hole and to expand the searching area in the topology optimization process unlike in the case of conventional level-set method.

Grey set is the important foundation of the grey mathematics and grey system theory, and the possibility function is the way of expressing grey set. This paper aims to establish the method of determining the possibility function of grey set and discusses its extended applications.

First, the grey kernel and the grey support set of grey set are defined, and the properties of grey kernel are analyzed. Second, according to the decomposition theorem of grey set, a method of determining the possibility function of grey set is put forward in this paper, which is called the method of increasing information and taking maximum and minimum (IITMM), and then it is further simplified as the method of increasing information and taking maximum (IITM), and an simple example is given to illustrate the calculation procedure. Finally, the grey information cluster method (GICM) based on IITM is proposed and applied to the ecological and geographical environment analysis of pine caterpillar.

The results show that the grey kernel of grey set still has grey uncertainty; the method of IITM has simple calculation and strict mathematical basis, and it can synthesize the information of the research object and accords with the principle of using minimum information; the GICM and the fuzzy cluster method have the same classification effect.

The researches show that method of IITM can be used not only to determine the possibility function of the grey set effectively, but also be used for the evaluation and cluster analysis of connotative objects. The classification result of the GICM presented in this paper is more precise than that of the fuzzy cluster method.

The paper succeeds in realizing both the IITM method for determining the possibility function of grey set and the GICM based on IITM for the connotative objects.

This paper addresses the importance of goal setting in the operations function. The importance of goal setting and its possible role in the implementation and operation of production systems is considered with particular emphasis on Material Requirements Planning (MRP). It has been argued that an operative goal setting process can improve employees' performance in any area of the organisation. Likewise, companies with a high‐level MRP system are expected to show high performance levels. This paper offers empirical support for these claims and further argues that the combination and interaction of the two processes results in synergistic effects. To support these arguments the paper draws on both theoretical studies and the results of a small regional survey.

This study examines the relationship between goal properties, both at the employee and organizational-level, and the perceived fairness of the performance appraisal system by federal employees.

We describe the theoretical framework regarding goals and employee perceptions of performance appraisal fairness. We then develop and test four hypotheses, exploring the relationships among variables using five years of the FEVS data. To strengthen the research design, we created an agency-level dataset, by calculating agency-level averages for all the covariates. Instead of examining 500,000 federal employees each year, we are examining 80 federal agencies. Creating a panel dataset at the agency level allows us to make stronger statements about causality than using cross-sectional data.

This study finds a significant positive relationship between goal setting factors and employees' perceived fairness of performance appraisals: perceived employee-level goal difficulty and perceived organizational-level goal specificity at the agency level. The study results show that certain control variables, such as intrinsic motivation, play important roles in predicting public employees' perceived fairness of performance appraisals. Federal employees who have a higher level of intrinsic motivation show a more positive perception toward performance appraisal fairness. The appropriate use of extrinsic rewards and intrinsic motivation, combined with effective goal setting strategies in public organizations, may enhance public employees' perceived fairness of performance appraisal systems.

This study used the FEVS, necessitating the reduction of the sample size to agency level averages to create a panel dataset. Also, this study was limited to federal agencies in the United States, so research results may lack generalizability.

This paper fulfills an identified need to avoid cross-sectional research design and leverage longitudinal panel data.

The money raised for projects on crowdfunding platforms is determined not only by the merit of the projects themselves but also, to a large extent, by the design of the project introduction on the platforms. The purpose of this study is to identify the clear relationships between the financing result and the design factors to give preferable design suggestions to the fund initiators.

The data for this study were abstracted with Python from the Jingdong crowdfunding platform on a certain day. In all, 11 hypotheses are put forward in the study with the two main purposes of exploring the function of the quality signaling and level setting.

All design factors can impact the money raised for a project. However, the impact differs in certain situations. The level setting can significantly impact the amount of money raised. The quality of signals has a complex impact on the two dimensions.

Three major contributions are made by this paper. First, the level setting is explored after overcoming the difficulty of scrawling data. Second, the authors create the Success Index and Weighted Gap Index to measure the level of success from comprehensive dimensions and quantify the dispersion of the levels. Third, this study shows a comprehensive theoretical framework which can function as a reference for research in the future.

This paper aims to find out what product features become salient when consumers are exposed to many market offerings, demonstrating how choice set size influences construal mindset, which then affects the type of product consumers choose.

Experiment 1 provides preliminary evidence that being exposed to a large (vs small) choice set may drive people to focus more on the feasibility (i.e. a secondary feature) of a product and less on the desirability (i.e. a primary feature) when making a choice. Experiment 2 unveils the serial mediating roles of construal level and importance of price/design.

Consumers are more likely to select feasible (i.e. affordable) market offerings and not desirable (i.e. well-designed) ones when choosing from a large (vs small) choice set. This effect is serially mediated by mental construals and by the importance of price or design. Choosing from a large (vs small) choice set leads to low-level mental construals, which increase the importance of price (a feasibility attribute) while decreasing the importance of design (a desirability attribute), resulting in choice of feasible (affordable) market offerings over well-designed ones.

Although consumers generally focus on the desirability of a choice or an action, choosing from large choice sets makes them focus more on the feasibility of market offerings because of low-level mental construals.

In today’s era of e-commerce, as consumers are exposed to too many product offerings, retailers should emphasize the feasibility of their market offerings (e.g. affordability) to increase the chance that consumers purchase their products. This research shows that people rely very much on product price to make selections when provided with a large choice set.

To the best of the authors’ knowledge, this research is the first to show that large choice sets make consumers choose affordable products over well-designed ones and introduces the serial mediation effect of construal level and importance of price/design. Accordingly, this research establishes that large choice sets activate low-level mental construals, which associate with a feasibility mindset that ultimately makes consumers choose an affordable product instead of a well-designed one. It adds to the literature on choice overload by showing that the importance of price overshadows the importance of design (aesthetics) when people are exposed to large choice sets.

Fuzzy languages and level sets are defined and illustrated by examples. Properties of level sets are presented. A fuzzy regular language theorem may be proved through the use of the properties of level sets. Level sets offer what appears to be a useful tool in theorem proving in fuzzy languages, pictorial databases, natural language translation and processing, and many others. Through the use of level sets, results obtained in formal languages may be used in fuzzy languages and related areas.

Structural performance of additively manufactured parts is deposition path-dependent because of the induced material anisotropy. Hence, this paper aims to contribute a novel idea of concurrently performing the deposition path planning and the structural topology optimization for additively manufactured parts.

The concurrent process is performed under a unified level set framework that: the deposition paths are calculated by extracting the iso-value level set contours, and the induced anisotropic material properties are accounted for by the level set topology optimization algorithm. In addition, the fixed-geometry deposition path optimization problem is studied. It is challenging because updating the zero-value level set contour cannot effectively achieve the global orientation control. To fix this problem, a level set-based multi-step method is proposed, and it is proved to be effective.

The proposed concurrent design method has been successfully applied to designing additively manufactured parts. The majority of the planned deposition paths well match the principle stress direction, which, to the largest extent, enhances the structural performance. For the fixed geometry problems, fast and smooth convergences have been observed.

The concurrent deposition path planning and structural topology optimization method is, for the first time, developed and effectively implemented. The fixed-geometry deposition path optimization problem is solved through a novel level set-based multi-step method.

Since the adoption in 1976 of the Integrated Programme for Commodities, only four international commodity agreements have been concluded, of which only one, the International Natural Rubber Agreement (1979), was new. The others are the International Sugar Agreement (1978), the International Cocoa Agreement (1980) and the International Tin Agreement (1981). In view of the broad political support for international commodity agreements, the progress towards concluding such agreements is slow. Moreover, in some of them universality is lacking. Several countries which account for a substantial proportion of world production and consumption of, and trade in, the commodity subject to an international agreement, have not ratified or acceded to the relevant agreements. The duration of the negotiations has been exceedingly long in comparison with experience on negotiations of the previous agreements. This outcome, several years after the adoption of the Integrated Programme for Commodities, is disappointing and unexpected, especially since the basic purpose of that Programme and the setting up of the Common Fund in accordance with it was “to act as a catalyst for international commodity agreements”. The purpose of this article is to examine the reasons for this outcome.

Consumers usually respond favourably to ingroups but negatively to dissociative groups and products linked to dissociative groups, termed the dissociative group effect. Despite important implications for branding, advertising and celebrity endorsement, little is known about how to attenuate the effect. This paper aims to introduce a mechanism which attenuates the dissociative group effect by drawing on construal level theory.

An experimental approach was used which included two-part between-subjects designs.

High identifiers prefer products linked to their ingroup over ones linked to a dissociative group, however, the opposite is true for low identifiers. The difference in preference is attenuated for high and low identifiers when they are placed in an abstract mind-set. The underlying mechanism of this effect is similarity focus.

The same context was used to ensure that the attenuating effect found was not due to contextual factors. However, further studies should replicate the findings in a wider variety of contexts.

This research offers practical recommendations on how to manage multiple customer segments in increasingly diverse marketplaces. By inducing an abstract mind-set in customers, for example, via advertising copy, website architecture or contextual factors such as pitch of the music, marketers can increase the effectiveness of identity-linking marketing for consumers’ high/low in identification.

This is one of the first empirical studies to evidence the applicability of construal level theory within identity marketing and offers a novel mechanism to attenuate the dissociative group effect. The findings shed new light on how low identifiers relate and respond to identity-linked marketing.