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This paper aims to solve inhomogeneous dielectric problems by matching boundary conditions at the interfaces among homogeneous subdomains. The capabilities of Hilbert transform computations are deeply investigated in the case of limited numbers of samples, and a refined model is presented by means of investigating accuracies in a case study with three subdomains.

The accuracies, refined by Richardson extrapolation to zero error, are compared to finite element (FEM) and finite difference methods. The boundary matching procedures can be easily applied to the results of a previous Schwarz–Christoffel (SC) conformal mapping stage in SC + BC procedures, to cope with field singularities or with open boundary problems.

The proposed field computations are of general interest both for electrostatic and magnetostatic field analysis and optimization. They can be useful as comparison tools for FEM results or when severe field singularities can impair the accuracies of other methods.

This static field methodology, of course, can be used to analyse transverse electro magnetic (TEM) or quasi-TEM propagation modes. It is possible that, in some case, these may make a contribution to the analysis of axis symmetrical problems.

The most relevant result is the possible introduction of SC + BC computations as a standard tool for solving inhomogeneous dielectric field problems.

The purpose of this study is to evaluate the effectiveness of an online psychological support group on patients with coronavirus disease 2019 (COVID-19) in a Thai field hospital.

A prospective controlled trial was conducted at a Thai field hospital and included patients with confirmed COVID-19 who were over the age of 18 and able to use an online communication application. Patients were free to decide whether to participate in the online group. The group provided a space for participants to communicate with each other and a mental health service team. The everyday activities were designed to enable group support via texting or livestreaming through the LINE application. Psychoeducation via video clips or articles regarding stress management were provided. Outcomes were measured by an online self-reported questionnaire based on the twenty-one-item Depression, Anxiety and Stress Scale (DASS-21) on the first and fourteenth day of admission to the field hospital.

Forty-six patients participated in this study. Forty participants completed the secondary assessment, with 21 in the intervention group and 19 in the control group. From multilevel mixed-effects regression analysis, adjusted for gender, age and education, participation in the intervention group significantly decreased total DASS scores and anxiety subdomain scores compared to those in the control group (p = 0.038 and 0.008).

The online psychological support group offered benefits for patients with COVID-19 who were isolated in the field hospital. It could be an effective alternative measure to distribute psychological care during a pandemic situation. However, a small sample size was a limitation of this study.

This paper focuses on the unconditionally optimal error estimates of a linearized second-order scheme for a nonlocal nonlinear parabolic problem. The first step of the scheme is based on Crank–Nicholson method while the second step is the second-order BDF method.

A rigorous error analysis is done, and optimal L² error estimates are derived using the error splitting technique. Some numerical simulations are presented to confirm the study’s theoretical analysis.

Optimal L² error estimates and energy norm.

The goal of this research article is to present and establish the unconditionally optimal error estimates of a linearized second-order BDF finite element scheme for the reaction-diffusion problem. An optimal error estimate for the proposed methods is derived by using the temporal-spatial error splitting techniques, which split the error between the exact solution and the numerical solution into two parts, that is, the temporal error and the spatial error. Since the spatial error is not dependent on the time step, the boundedness of the numerical solution in L∞-norm follows an inverse inequality immediately without any restriction on the grid mesh.

The goal of this paper is to give a comprehensive and short review on how to compute the first- and second-order topological derivatives and potentially higher-order topological derivatives for partial differential equation (PDE) constrained shape functionals.

The authors employ the adjoint and averaged adjoint variable within the Lagrangian framework and compare three different adjoint-based methods to compute higher-order topological derivatives. To illustrate the methodology proposed in this paper, the authors then apply the methods to a linear elasticity model.

The authors compute the first- and second-order topological derivatives of the linear elasticity model for various shape functionals in dimension two and three using Amstutz' method, the averaged adjoint method and Delfour's method.

In contrast to other contributions regarding this subject, the authors not only compute the first- and second-order topological derivatives, but additionally give some insight on various methods and compare their applicability and efficiency with respect to the underlying problem formulation.

Confronting the unveiled sophisticated structural and physical characteristics of permanent magnets, notably the samarium–cobalt (Sm-Co) alloy, This work aims to introduce a simulation scheme that can link physics-based micromagnetics on the nanostructures and magnetostatic homogenization on the mesoscale polycrystalline structures.

The simulation scheme is arranged in a multiscale fashion. The magnetization behaviors on the nanostructures examined with various orientations are surrogated as the micromagnetic-informed hysterons. The hysteresis behavior of the mesoscale polycrystalline structures with micromagnetic-informed hysterons is then evaluated by computational magnetostatic homogenization.

The micromagnetic-informed hysterons can emulate the magnetization reversal of the parameterized Sm-Co nanostructures as the local hysteresis behavior on the mesostructures. The simulation results of the mesoscale polycrystal demonstrate that the demagnetization process starts from the grain with the largest orientation angle (a) and then propagates to the surrounding grains.

The presented scheme depicts the demand for integrating data-driven methods, as the parameters of the surrogate hysteron intrinsically depend on the nanostructure and its orientation. Further hysteron parameters that help the surrogate hysteron emulate the micromagnetic-simulated magnetization reversal should be examined.

This work provides a novel multiscale scheme for simulating the polycrystalline permanent magnets’ hysteresis while recapitulating the nanoscale mechanisms, such as the nucleation of domains, and domain wall migration and pinning. This scheme can be further extended to simulate the part-level hysteresis considering the mesoscale features.

Entrepreneurship is one of the engines to stimulate socio-economic development. This study aims to examine the relationships of entrepreneurship education, financial support and market availability, with the entrepreneurial attitude among youngsters in venturing into entrepreneurship. A further discovery concerning the relationship between entrepreneurial attitudes and entrepreneurial intention is also analysed.

Data were collected through a survey questionnaire that was distributed to university students. A total of 425 collected data were analysed using structural equation modelling to discover the relationship among five chosen constructs.

It was found that entrepreneurship education and financial support encourage the entrepreneurial attitude of youngsters to venture into entrepreneurship. This entrepreneurial attitude is further supported by an entrepreneurial intention to become an entrepreneur. Nevertheless, market availability does not influence the youngsters to venture into entrepreneurship.

Entrepreneurship encouragement should focus on the entrepreneurship education and financial support to shape the entrepreneurial attitude, which, indirectly, may further influence the entrepreneurial intention.

As an initiative to become an entrepreneurial nation, there is a need to discover how to shape the entrepreneurial intention through entrepreneurial attitude. This study is assisting to fill the research gap by focussing on the Malaysian market.

This study aims to simulate the dendritic growth in Stokes flow by iteratively coupling a domain and boundary type meshless method.

A preconditioned phase-field model for dendritic solidification of a pure supercooled melt is solved by the strong-form space-time adaptive approach based on dynamic quadtree domain decomposition. The domain-type space discretisation relies on monomial augmented polyharmonic splines interpolation. The forward Euler scheme is used for time evolution. The boundary-type meshless method solves the Stokes flow around the dendrite based on the collocation of the moving and fixed flow boundaries with the regularised Stokes flow fundamental solution. Both approaches are iteratively coupled at the moving solid–liquid interface. The solution procedure ensures computationally efficient and accurate calculations. The novel approach is numerically implemented for a 2D case.

The solution procedure reflects the advantages of both meshless methods. Domain one is not sensitive to the dendrite orientation and boundary one reduces the dimensionality of the flow field solution. The procedure results agree well with the reference results obtained by the classical numerical methods. Directions for selecting the appropriate free parameters which yield the highest accuracy and computational efficiency are presented.

A combination of boundary- and domain-type meshless methods is used to simulate dendritic solidification with the influence of fluid flow efficiently.