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The purpose of this paper is to demonstrate a multipurpose inspection robot that can both walk on the ground and climb on poles. The structure design, size optimization, kinematics analysis, experiment and arithmetic of the robot are discussed in the paper.

The robot consists of three adjustable modules and a two-degree-of-freedom parallel mechanism in tandem, and the wheel-finger mechanism of each module can realize wheel-finger opening and closing for fast movement and obstacle crossing. This paper uses geometric analysis and simulation analysis to derive size optimization, and vector coordinate method to derive kinematics. Finally, the experiment is carried out by simulating the working environment of the robot.

The robot can realize ground walking and ground turning through the robot entity prototype experiment on the built working environment and efficiently realize 0°–90° pole climbing by the assemble design, optimization and machining. In addition, the robot can also smoothly complete the state transition process from 0° ground to 90° pole climbing. Furthermore, the robot shows good environmental self-adaptation and can complete daily inspection work.

The robot can pitch and yaw at a large angle and has six-legged characteristics. It is a multipurpose inspection robot that can walk on the ground and climb on poles. And through structure design, size optimization, kinematics analysis and simulation, the existing robots’ common shortcomings such as poor barrier-crossing ability and poor environmental adaptability are solved.

Recent years have seen a technological change, Industry 4.0, in the manufacturing industry. Human–robot cooperation, a new application, is increasing and facilitating collaboration without fences, cages or any kind of separation. The purpose of the paper is to review mainstream academic publications to evaluate the current status of human–robot cooperation and identify potential areas of further research.

A systematic literature review is offered that searches, appraises, synthetizes and analyses relevant works.

The authors report the prevailing status of human–robot collaboration, human factors, complexity/ programming, safety, collision avoidance, instructing the robot system and other aspects of human–robot collaboration.

This paper identifies new directions and potential research in practice of human–robot collaboration, such as measuring the degree of collaboration, integrating human–robot cooperation into teamwork theories, effective functional relocation of the robot and product design for human robot collaboration.

This paper will be useful for three cohorts of readers, namely, the manufacturers who require a baseline for development and deployment of robots; users of robots-seeking manufacturing advantage and researchers looking for new directions for further exploration of human–machine collaboration.

This paper aims to make an analysis of investment behaviour in mutual funds, by looking at different investment decision influencers and trying to identify the extent to which the investment decision is knowledge-based. The paper has three main purposes, namely, to assess the degree to which the considered factors influence investment decision-making in young capital markets from Central and Eastern Europe (CEE); to compare the investment behaviour in the three considered countries; and to characterise investment behaviour in periods of economic turbulence.

The researchers considered a model of investment behaviour comprising six influencing factors. Inferential statistics through multiple linear regression was applied using the MATLAB R2014a software. The decision to invest was measured by the flow of new capital attracted by the fund (dependent variable) and the considered influencing factors (independent variables) were: the size of the fund, the risk associated to the fund, the growth of the fund, the growth of the fund category, the performance of the fund in its category. The research was conducted in Romania, Slovakia and Hungary. The period of study included the global economic crisis of 2007-2008.

The results illustrated that all considered factors do have an influence on the investment behaviour of investors in CEE, but with different levels of impact. The study concludes that the investment decision is partially knowledge-based, as investors in the region consider only some of the available information when making the decision to invest. Investment behaviour of investors in CEE is rather similar than dissimilar when deciding to invest in mutual funds. However, based on the differences between countries, it can be stated that the Hungarian investor is more mature and more informed than the others, when making investment decisions.

The study contributes to the exiting literature through the analysis of investment behaviour in young capital markets that are less studied in the literature. The limited number of studies considering mutual funds, usually comprise one fund category, while the present research considers all five most prevalent mutual funds categories for the studied period. It also contributed by collecting data from a less studied geographical region, CEE with three specific case studies, namely, Romania, Slovakia and Hungary that are looked at in a comparative manner.

This paper aims to describe how a sustainability-focused program in higher education can provide training and key experiences for implementing transdisciplinary approaches. The case is a fieldwork-based training course called the Global Field Exercise (GFE) at the Graduate Program in Sustainability Science, The University of Tokyo. The GFE is a methodological training course that emphasizes generating locally relevant research questions on sustainability.

This research is a case study regarding how a sustainability science program can offer a fieldwork-based training course that focuses on a transdisciplinary approach. Five students from diverse academic disciplines and cultural backgrounds participated in the GFE in QwaQwa where they conducted semi-structured interviews with six local entrepreneurs to identify the challenges and opportunities of entrepreneurship. The authors investigated the learning process and outcomes of the students through participatory observation in preparatory meetings, daily reflection sessions during fieldwork and a content analysis of feedback reports.

Four learning outcomes of the students were suggested: the reexamination of assumptions, managing misunderstanding and miscommunication, mutual learning and being empathic toward the local people.

This paper suggests three key opportunistic experiences for the transdisciplinary approach: discuss the normative dimension of sustainability; build intersubjectivity among team members and adopt methodological pluralism; and become empathetic to diverse stakeholder groups to facilitate the cogeneration of knowledge.

How to design training on a transdisciplinary approach in educational programs remains an area for further exploration. This study addresses this knowledge gap by establishing a link between sustainability education and sustainability in practice.

This paper aims to deal with the verification of local quantities of interest obtained through linear elastic finite element analysis. A technique is presented for determining the most accurate error estimation. This technique enables one to address industrial‐size problems while keeping computing costs reasonable.

The concept of error in constitutive relation is used to assess the quality of the finite element solution. The key issue is the construction of admissible fields. The objective is to show that it is possible to build admissible fields using a new method. These fields are obtained by using a high‐quality construction over a limited zone while the construction is less refined and less expensive elsewhere.

Numerical tests are presented in order to illustrate a very satisfying presented methodology. It shows clearly how to take advantage of the method to treat large examples. They clearly show the interest of this new method to treat large examples.

The paper demonstrates clearly that verification of large finite element problem must have dedicated methods in order to be applicable.

This paper aims to focus on the local quality of outputs of interest computed by a finite element analysis in linear elasticity.

In particular outputs of interest are studied which do not depend linearly on the solution of the problem considered such as the L2‐norm of the stress and the von Mises' stress. The method is based on the concept of error in the constitutive relation.

The method is illustrated through 2D test examples and shows that the proposed error estimator leads in practice to upper bounds of the output of interest being studied.

This tool is directly usable in the design stage. It can be used to develop efficient adaptive techniques.

The interest of this paper is to provide an estimation of the local quality of L2‐norm of the stress and the Von Mises' stress as well as practical upper bounds for these quantities.

Each individual investor is different, with different financial goals, levels of risk tolerance and personal preferences. From the point of view of investment management, these characteristics are often defined as objectives and constraints. Objectives can be the type of return being sought, while constraints include factors such as time horizon, how liquid the investor is, any personal tax situation and how risk is handled. It is really a balancing act between risk and return with each investor having unique requirements, as well as a unique financial outlook – essentially a constrained utility maximization objective. To analyze how well a customer fits into a particular investor class, one investment house has even designed a structured questionnaire with about 24 questions that each has to be answered with values from 1 to 5. The questions range from personal background to what the customer expects from an investment. A fuzzy logic system has been designed for the evaluation of the answers to the above questions. The notion of fuzziness with respect to funds allocation is investigated.

This article investigates Rugina’s orientation table and gives particular examples for several of its seven models. Leon Walras’s Economics of Stable Equilibrium and Keynes’s Economics of Disequilibrium are combined in Rugina’s orientation table in systems which are s percent stable and 100−s percent unstable, where s may be 100, 95, 65, 50, 35, 5, and 0. Classical logic and modern logic are united in Rugina’s integrated logic, and then generalized in neutrosophic logic.

In this paper, a combined TODIM-BSC method with the neutrosophical approach for evaluating the performance of a private insurance company has been proposed. In other words, first, using the BSC technique, and identify the performance evaluation indicators, then evaluate the performance of the insurance company's agencies and rank them with the TODIM decision-making method.

The insurance industry has a special prestige and importance in domestic and foreign trade. The evaluation of insurance companies, in addition to informing the stakeholders, increases competition, industry dynamism, sustainable and balanced development of society. The purpose of this paper is to establish a model for evaluating the performance of private insurance companies by adopting multiple-attribute decision-making and Balanced Scorecard (BSC) with single-values neutrosophic numbers (SVNNs) which will be applied by considering a set of indicators and alternatives deliberated with different viewpoints.

A case study of the private insurance agencies in one of the provinces of Iran based on 26 criteria of agencies is used to confirm the practicality and effectiveness of the proposed model. Finally, there was a discussion about why the results are logical, which shows the strength and robustness of the proposed framework.

To the best of our knowledge, no study has been performed to evaluate the performance of a real-world problem with the integrated TODIM-BSC method in a neutrophilic environment. Therefore, this paper can be effective in bridging the existing research gap and expanding our knowledge of the discussion of evaluating the performance of organizations or companies. Besides, by using these results, the authors can help the planners of these companies as well as similar organizations in attracting satisfaction and retaining target customers.

In this paper, we focus on the quality of a 2D elastic finite element analysis.

Our objective is to control the discretization parameters in order to achieve a prescribed local quality level over a dimensioning zone. The method is based on the concept of constitutive relation error.

The method is illustrated through 2D test examples and shows clearly that in terms of cost, this technique provides an additional benefit compared to previous methods.

The saving would be even more significant if this mesh adaptation technique were applied in three dimensions. Indeed, in 3D problems, the computing cost is vital and, in general, it is this cost that sets the limits.

This tool is directly usable in the design stage.

The new tool developed guarantees a local quality level prescribed by the user.