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The purpose of this paper is to investigate the extension of Delaunay refinement algorithms to work directly with a curved geometry in arbitrary dimensional spaces, which is also able to refine geometry pieces of different dimensions altogether.

The extension of Delaunay refinement is based on ideas of the Bowyer‐Watson algorithm and Ruppert algorithm.

The attempt to extend the fundamental ideas of Delaunay refinement to cope with curved geometries led to an algorithm whose performance in practice, regarding speed and mesh quality, is comparable to classical Delaunay refinement for flat geometries. Unfortunately, there are only theoretical guarantees that the refinement itself works under some conditions. No theoretical mesh quality bounds are provided.

A mesh refinement algorithm that deals with curved geometries is a key feature for adaptive mesh generators, so that points are inserted properly in the curved pieces instead of in linear approximations of them. For instance, it is well known that sharp edges are singular points of finite element formulations. This singularity fulfills in practice as mesh is refined around them. Those corners can be rounded up to avoid singularities. Furthermore, with this kind of tool, for instance, a user could start to mesh a disc from a single triangle representing it. Points would be efficiently inserted in the circle as needed during refinement.

This paper introduces the concept of manifold complex and also an extension of Delaunay refinement algorithm to deal with curved geometries.

The purpose of this paper is to solve both eigenvalue and boundary value problems coming from the field of quantum mechanics through the application of meshless methods, particularly the one known as meshless local Petrov‐Galerkin (MLPG).

Regarding eigenvalue problems, the authors show how to apply MLPG to the time‐independent Schrödinger equation stated in three dimensions. Through a special procedure, the numerical integration of weak forms is carried out only for internal nodes. The boundary conditions are enforced through a collocation method. The final result is a generalized eigenvalue problem, which is readily solved for the energy levels. An example of boundary value problem is described by the time‐dependent nonlinear Schrödinger equation. The weak forms are again stated only for internal nodes, whereas the same collocation scheme is employed to enforce the boundary conditions. The nonlinearity is dealt with by a predictor‐corrector scheme.

Results show that the combination of MLPG and a collocation scheme works very well. The numerical results are compared to those provided by analytical solutions, exhibiting good agreement.

The flexibility of MLPG is made explicit. There are different ways to obtain the weak forms, and the boundary conditions can be enforced through a number of ways, the collocation scheme being just one of them. The shape functions used to approximate the solution can incorporate modifications that reflect some feature of the problem, like periodic boundary conditions. The value of this work resides in the fact that problems from other areas of electromagnetism can be attacked by the very same ideas herein described.

The purpose of this paper is to solve the electromagnetic scattering problem through a new integral‐based approach that uses the moving least squares (MLS) meshless method to generate its shape functions.

The electric field integral equation and its magnetic counterpart (MFIE) are discretized via special shape functions built numerically through the MLS procedure. This approach is applied to the particular problem concerning the scattering of a TM plane wave by an infinite conductor cylinder. An error norm is established in order to verify the quality of the obtained results.

Results show that the discretization process which employs MLS shape functions presents very good precision and fast convergence to the solution, when compared to results provided by another numerical method, the method of moments.

MLS shape functions occur in meshless methods intended to solve problems based on differential formulation. This paper shows that these shape functions can also be applied successfully to problems coming from an integral formulation.

This paper aims to evaluate the resin infiltration influence on the mechanical properties of components 3D printed by the material extrusion-based additive manufacturing (AM), also known as fused deposition modeling and commonly uses the acrylonitrile butadiene styrene (ABS) as depositing material. Improvements in their mechanical properties are desirable due failure resulting from the extrusion process. In this way, resin infiltration is considered a candidate solution to enhance 3D printed components’ strength.

The mechanical properties of AM samples produced with and without the resin infiltration were assessed under torsion, tensile and flexural stresses. Torsional tests are rarely found applied for this case, an alternative torsion test developed by one of the authors was used. The torsion modulus (G) is obtained without the Poisson’s ratio, which is usually unknown for recently made composites. Scanning electron microscopy was also done to verify the resin infiltration on the samples.

Results demonstrated that the resin infiltration on ABS can improve the mechanical properties of samples compared to non-infiltrated. The tensile and bending strength increased more than 6%. Both Young’s and torsion modulus also presented a significant increase. The samples did not present any considerable change in their weight property.

This paper discusses on resin infiltration on print ABS, as to produce a composite material, enhancing ABS properties without gaining weight. This paper also used the torsion modulus instead of the common approach of bringing only tensile and flexure strength.

Examines the tenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

The purpose of this paper is threefold: first, to shed light on the increasing start-up competitions (SUCs) phenomenon; second, to provide an interpretive framework to understand whether the SUCs have the potential to be effective entrepreneurial learning environment; third, to analyse the different roles of public and private actors in organizing SUCs.

The paper presents a cross-section analysis of the Italian SUCs population. In total, 77 competitions are analysed on the basis of different criteria which should properly mirror their distinguishing structural features, helping understand the potential of SUCs as learning environments.

The recent increase in the number of SUCs has been mainly fuelled by private actors. Moreover, Italian SUCs show some features that make them rich learning environments. Private and public actors play different roles, as confirmed by statistical tests performed. Privately organized SUCs follow mainly a market-oriented approach, while publicly organized ones are more education oriented.

The findings cannot be easily generalized mainly due to the peculiarities of the Italian context.

Soft forms of regulation should be defined to strengthen those features which could potentially support the entrepreneurial learning processes. In this view, SUCs should be part of a start-up friendly ecosystem where actors (startuppers, incubators, venture capitalists) are effectively coordinated with each other.

Despite the remarkable diffusion of SUCs, there are significant gaps in literature about this phenomenon. Given the lack of a systematic and comprehensive analysis of SUCs as effective entrepreneurial learning environments, the paper represents an important starting point.

The purpose of this paper was to contribute to the clarification of the conditions under which teams can be successful, especially those related to team learning. To attain this goal, in the present study, the mediating role played by team members’ motivation on the relationship between team learning conditions (shared learning beliefs and team learning support) and members’ satisfaction with the team was analysed.

An empirical study with a multilevel design was carried out. Data concerning learning conditions, motivation and satisfaction were obtained from a survey among 398 employees working in 71 teams that perform complex tasks from 24 companies. A multilevel analysis was conducted.

Overall, the results showed that both team learning conditions – shared learning beliefs and team learning support – had a significant positive effect on members’ satisfaction, which was mediated by members’ motivation.

The proliferation of groups in the organizational setting has set new challenges for organizational research. In fact, more than ever it is necessary to study the conditions under which teams can be successful. Our findings put forward the relevance of creating conditions in the team to learn to increase team effectiveness, namely, in terms of team members’ satisfaction.

The empirical findings of the roles of emotions in teams are mixed. This study, a scoping literature review, aims to synthesize extant research on the roles of emotions in work teams and offers future research directions.

Sixty-nine empirical studies from the past ten years (2012 to 2021) were identified and reviewed. The authors then analyzed these 69 papers based on their research design, focus and nomological network of emotions.

The authors found that there is a clear increasing research trend of studying emotions in a team setting. In the extant literature, team emotions were studied from three major perspectives: emotions, emotional management and emotion measurement. The authors also summarized findings into the nomological network of team emotions. Last but not least, future research directions regarding the research context, focus and design and analysis were recommended.

The role of emotions in teams has not been extensively reviewed or synthesized, and the empirical findings are mixed. This paper synthesized the role of emotions in teams and critical factors that affect emotions in teams. In particular, the research recommendations for critical human resource development scholars cover three aspects: research context advancement, research focus advancement and research design and analysis advancement.