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The purpose of this paper is to minimize on‐chip inductance effect for modern very large‐scale integration (VLSI), ultra large‐scale integration (ULSI) systems.

As operating frequency increases, parasitic inductance has become a major concern for electronic design on both delay and coupling noises. The impacts of on‐chip inductance are strongly associated with higher frequency operation, denser interconnect geometry, reductions of resistance, and capacitance of interconnects. The paper presents a novel layout technique – opposing inter‐digitating routing, to generate magnetic fields in opposing directions; consequently, effective magnetic field is minimized, or inductance effect is reduced. To prove the effectiveness of these approaches, 3D field solver FastHenry is used to extract inductance data and verify the results.

Verification shows that this proposed method gives more than ten times reduction in self‐inductance while mutual inductance reduces even faster, without incurring any area and resource penalty.

The proposed technique can be used effectively to minimize inductance effects in the design of modern interconnect structures. This technique is shown to be highly effective for inductance reduction in wide signal buses which are used frequently in global buses, critical data path or clock distribution networks of VLSI and ULSI systems.

Compliant mechanism has been receiving a great interest in precision engineering. However, analytical methods involving their behavior analysis is still a challenge because there are unclear kinematic behaviors. Especially, design optimization for compliant mechanisms becomes an important task when the problem is more and more complex. Therefore, the purpose of this study is to design a new hybrid computational method. The hybridized method is an integration of statistics, numerical method, computational intelligence and optimization.

A tensural bistable compliant mechanism is used to clarify the efficiency of the developed method. A pseudo model of the mechanism is designed and simulations are planned to retrieve the data sets. Main contributions of design variables are analyzed by analysis of variance to initialize several new populations. Next, objective functions are transformed into the desirability, which are inputs of the fuzzy inference system (FIS). The FIS modeling is aimed to initialize a single-combined objective function (SCOF). Subsequently, adaptive neuro-fuzzy inference system is developed to modeling a relation of the main geometrical parameters and the SCOF. Finally, the SCOF is maximized by lightning attachment procedure optimization algorithm to yield a global optimality.

The results prove that the present method is better than a combination of fuzzy logic and Taguchi. The present method is also superior to other algorithms by conducting non-parameter tests. The proposed computational method is a usefully systematic method that can be applied to compliant mechanisms with complex structures and multiple-constrained optimization problems.

The novelty of this work is to make a new approach by combining statistical techniques, numerical method, computational intelligence and metaheuristic algorithm. The feasibility of the method is capable of solving a multi-objective optimization problem for compliant mechanisms with nonlinear complexity.

This paper critically evaluates the political economy of Web3 and offers a neo-institutional model to explain qualitative observations of contemporary digital social movements. By starting to develop a sociological model of Web3 rooted in micro-organizational practices, including trust mediation and social coproduction, this paper re-evaluates assumptions of scarcity, economic value, and social belonging. It concludes by introducing a novel research program to study digital polycentric governance that focuses on community self-governance of digital common pool resources (DCPRs) and looks forward to empirical research using on-chain datasets from decentralized autonomous organizations (DAOs).

Fused Filament Fabrication (FFF) is an extrusion-based manufacturing process using fused thermoplastics. Despite its low cost, the FFF is not extensively used in high-value industrial sectors mainly due to parts' anisotropy (related to the deposition strategy) and residual stresses (caused by successive heating cycles). Thus, this study aims to investigate the process improvement and the optimization of the printed parts.

In this work, a meshless technique – the Radial Point Interpolation Method (RPIM) – is used to numerically simulate the viscoplastic extrusion process – the initial phase of the FFF. Unlike the FEM, in meshless methods, there is no pre-established relationship between the nodes so the nodal mesh will not face mesh distortions and the discretization can easily be modified by adding or removing nodes from the initial nodal mesh. The accuracy of the obtained results highlights the importance of using meshless techniques in this field.

Meshless methods show particular relevance in this topic since the nodes can be distributed to match the layer-by-layer growing condition of the printing process.

Using the flow formulation combined with the heat transfer formulation presented here for the first time within an in-house RPIM code, an algorithm is proposed, implemented and validated for benchmark examples.

This study aims to examine the effect of real activities manipulation (RAM) on auditors’ decision of issuing going concern (GC) opinions for distressed companies.

This study estimates and examines three types of RAM: reduction of discretionary expenses, sales manipulation and overproduction. It investigates the effect of RAM on auditor reporting conservatism by including the three measures of RAM methods in logistic regressions that explain the issuance of going concern opinions. The authors perform the analysis specifically on distressed firms for 2004-2013 period.

This study finds a significant and positive association between RAM and the likelihood of receiving going concern opinion in the financial distressed firm sample, suggesting that client’s abnormal business activity affects the auditor reporting conservatism.

This study provides evidence that auditors make going concern reporting decisions in consideration of the client’s abnormal operating decisions and management’s opportunism.

Recent literature argues that auditors have little recourse other than to resign if a client uses RAM to impact earnings or the financial statements, and hence the enhanced audit quality in the post-SOX period is due to the shift from using accruals management to RAM (Cohen et al., 2008; Chi et al., 2011; Kim and Park, 2014). The evidence provided in this study indicates that auditors report more conservatively (rather than simply resign) in response to the aggressive RAM.

This study, using stakeholder approach, aims to examine the impact of corporate governance and risk-taking on the performance of the top 100 nonfinancial listed firms in Vietnam from 2015 to 2019.

The theoretical and empirical studies are reviewed for rational hypotheses development. Firm performance is represented by return on assets, return on equity and Tobin’s Q.

Specifically, concentrated ownership structure, large workforce, being a great workplace, quick sales growth, high receivables turnover, being funded by both the state and foreigners and high-risk exposure positively affect firm performance. However, a high level of state ownership or foreign ownership, more independent members on board, large board size and chief executive officer (CEO) duality show an inverse effect. Besides, an inverted U-shaped relationship with firm performance is recognized for liquidity ratios.

This study uses three triangles, including governance, risk, and performance. The paper offers some evidence-based recommendations to improve firm performance in Vietnamese businesses.

This chapter provides information on the development of Vietnamese education under the influence of global forces based on the analysis of relevant education research and policies using Wolhuter’s frameworks. In the process of coming up with ways to develop education in the face of different influences of globalization, besides having reactions with patterns commonly found in countries around the world, Vietnam also has responses that reflect its own political, sociocultural and economic characteristics. The state still plays a controlling role in education at all levels and many culture-related features that have existed throughout the country’s history have hardly changed, namely aspects related to teachers, learners and teaching and learning methods. To sustain its education in the globalized era, Vietnam must make more efforts in various aspects such as the link between education and employment, the logic of education objectives, the feasibility and appropriateness of curricula, quality of education, especially of higher education and equality in education for underprivileged groups.

The purpose of this paper is to empirically test a more comprehensive model of economic growth using a sample of 28 lower middle-income developing countries.

The authors modify the conventional neoclassical growth model to account for the impact of the increase in the number of people working relative to the total population and that of the increase in the value added per worker over time. The authors then extend this model by incorporating the role of trade, government consumption, and human capital in output growth.

Regression results show that over three quarters of cross-lower middle-income country variations in per capita GDP growth rate can be explained by per capita growth in the share of public expenditures on education in the GDP, per capita growth in the share of government consumption in the GDP, per capita growth in the share of imports in the GDP, per capita growth in the share of manufactured exports in the GDP (not of that of total exports in the GDP), and the growth of the working population relative to the total population.

Statistical results of such empirical examination will assist governments in these countries identify policy fundamentals that are essential for economic growth.

To address the simultaneity bias, the authors develop a simultaneous equations model and are able to show that such model is more robust and helps explains cross-country variations in per capita GDP growth over the 2000-2014 period.

Decentralized autonomous organizations (DAOs) promise to be an incubator for a regenerative, mutualist, and democratic economy. But if business is no longer done in firms and workers are neither employed nor managed – what else? This paper argues that a new production architecture inevitably involves an uncomfortable look at the idea of “business” itself, requiring us to reconsider deeply ingrained ideas of scale, ownership, and control. Here, you will find three provocations to institutionally reimagine DAOs for a planetary-conscious future. Bear with me.