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This study aims to propose a more precise method for robust design optimization of mechanical structures with black-box problems, while also considering the efficiency of uncertainty analysis.

The method first introduces a dual adaptive chaotic flower pollination algorithm (DACFPA) to overcome the shortcomings of the original flower pollination algorithm (FPA), such as its susceptibility to poor accuracy and convergence efficiency when dealing with complex optimization problems. Furthermore, a DACFPA-Kriging model is developed by optimizing the relevant parameter of Kriging model via DACFPA. Finally, the dual Kriging model is constructed to improve the efficiency of uncertainty analysis, and a robust design optimization method based on DACFPA-Dual-Kriging is proposed.

The DACFPA outperforms the FPA, particle swarm optimization and gray wolf optimization algorithms in terms of solution accuracy, convergence speed and capacity to avoid local optimal solutions. Additionally, the DACFPA-Kriging model exhibits superior prediction accuracy and robustness contrasted with the original Kriging and FPA-Kriging. The proposed method for robust design optimization based on DACFPA-Dual-Kriging is applied to the motor hanger of the electric multiple units as an engineering case study, and the results confirm a significant reduction in the fluctuation of the maximum equivalent stress.

This study represents the initial attempt to enhance the prediction accuracy of the Kriging model using the improved FPA and to combine the dual Kriging model for uncertainty analysis, providing an idea for the robust optimization design of mechanical structure with black-box problem.

Aiming at the problems of poor accuracy and limitation in strength assessment of spot welding vehicle body caused by uncertain factors, such as key component size and nugget diameter, the numerical models of strength uncertainty analysis of spot-welded joints were constructed based on evidence theory and fuzzy theory.

Evidence theory and fuzzy theory are used to deal with the uncertainty of design parameter, and differential evolution algorithms are used to calculate the propagation process of uncertainty in this model. Furthermore, efficient relationship between the strength of welded joints and each design parameter is constructed by using response surface proxy model, which effectively avoids the problem of repeated complex finite element analysis in uncertainty analysis.

The results show that the constructed uncertainty numerical model is effective for the multiple uncertainties and give interval results under different probabilities and affiliations, which can more effectively evaluate the strength of the welded body structure to avoid overly conservative estimates for deterministic design.

The evidence theory is improved and combined with differential evolution algorithm and response surface method to effectively improve the computational efficiency. Based on the improved evidence theory and fuzzy algorithm, the numerical models for the uncertainty analysis of solder joint strength of welded structures are constructed and their feasibility is verified.

The Supreme Court’s decision in Federal Trade Commission v. Actavis, Inc. is a challenge to conventional antitrust analysis. Conventional civil antitrust cases are decided by a preponderance of the evidence. This means that conduct challenged under the rule of reason is only condemned if the conduct resulted in more competitive harm in the actual world than a world without the alleged violation. Under conventional analysis, the intent of the parties also plays only a supporting role in determining whether the conduct was anticompetitive. A holder of a valid patent has a right to exclude others practicing the patented technology. And, the patent holder is not assumed to have market power because it expended resources in maintaining exclusionary rights. Actavis creates doubts about these propositions in circumstances beyond the “reverse” payment settlement of a patent suit that may have delayed an alleged infringer market entry. This chapter explores whether applying Actavis logic to antitrust litigation can result in condemnation of practices where there is little chance of an anticompetitive effect, where the patent holder likely has a valid and infringed patent, where there is little reason to believe that the patent holder has market power, and where only one party, or no parties, to an agreement have an anticompetitive intent. This chapter also investigates whether Actavis creates new problems with standing analysis, damages calculations, and the balancing of efficiencies against anticompetitive effects. Nevertheless, the lower courts have begun to extend the logic of Actavis. This is apparent in the condemnation of no-Authorized-generic settlements.

This chapter provides a critical and comprehensive review of the internationalisation literature. It starts with a brief discussion of the main factors and features that need to be considered when internationalising the educational administration and leadership field. This is followed by a critique of the internationalisation of education and the many challenges that hinder the achievement of proper internationalisation. The third section provides an overview of the internationalisation models and practices in different disciplines such as psychology, sociology and political science, which is followed by a discussion on the internationalisation of education organisations in different countries with some examples from Arab and non-Western countries. The final section presents a critical review of literature on internationalising the curriculum and how culture competency and knowledge acquisition are key factors in achieving effective internationalisation. The chapter concludes with an overview of the book collection and the main ideas and concepts discussed in each chapter.

Food manufacturing supply chain systems are the most relevant wheels of the world economy since they provide essential products supporting daily life. Nevertheless, various supply inefficiencies have been reported to compromise food safety in different regions. Sustainable supplier management and digitalization practices have become cornerstone activities in addressing these shortcomings. Therefore, this paper proposes an integrated method for sustainability management in digital manufacturing supply chain systems (DMSCS) from the food industry.

The Intuitionistic Fuzzy Analytic Hierarchy Process (IF-AHP) was used to weigh the criteria and subcriteria under uncertainty. Second, the Intuitionistic Fuzzy Decision-Making Trial and Evaluation Laboratory (IF-DEMATEL) was applied to determine the main DMSCS sustainability drivers whilst incorporating the expert's hesitancy. Finally, the Combined Compromise Solution (CoCoSo) was implemented to pinpoint the weaknesses hindering DMSCS sustainability. A case study from the pork supply chain was presented to validate this method.

The most important criterion for DMSCS sustainability management is “location” while “manufacturing capacity” is the most significant dispatcher.

This paper presents a novel approach integrating IF-AHP, IF-DEMATEL, and CoCoSo methods for sustainability management of DMSCS pillaring the food industry.

There is a clear national trend toward the inclusion of students with disabilities in general education classrooms. This trend poses particularly vexing challenges for delivering appropriate programs for students with emotional and behavioral disorders (EBD). This chapter describes the complexity of determining appropriate inclusive placements for students with EBD within the historical, legal, and philosophical context of inclusion and related to what we know about these students and how we can improve outcomes. Recommended practices for maximally appropriate placements include a comprehensive approach that integrates academic and behavioral interventions, and robust professional development in research-validated instructional practices for teachers. Shifting roles and shared responsibility of the professionals who are now working with students with EBD must be considered. Finally, issues currently being addressed that will shape the future direction of service delivery for students with EBD are discussed including the need for systematically and objectively manipulating key variables, including educational placement, to impact student achievement across settings.

The purpose of this paper is to discuss how the failed finance companies in Sri Lanka used fair value accounting practices as an opportunistic earnings management practice to launder money under weak corporate governance structures.

This paper uses a qualitative design under the philosophy of interpretivism. The case study research strategy is used inductively to investigate how fair value accounting had been used for money laundering.

The dishonest intention of major shareholders and board of directors had forced failed companies to misuse fair value accounting to manipulate performance and use them for personal benefits which were detrimental to the depositors and stability of the companies. The weak corporate governance structures which were developed because of regulatory forbearance were influential for manipulations. The concentrated ownership had reduced agency conflicts between shareholders and managers because major shareholders were the members of the board of directors. The appointed committees were not effective because of an inadequate number of independent directors with sufficient expertise. The reduced agency conflict between shareholders and managers has exaggerated the agency conflict with depositors. Therefore, it is recommended to dilute ownership concentration to establish good corporate governance structures and make stable institutions.

This study does not discuss the dishonest fair value accounting practices of all licensed finance companies because of the sensitivity of the matter for surviving companies.

This paper is an original work of the authors which discusses how fair value accounting practices had been used to launder money in failed finance companies in Sri Lanka as an emerging market context.

This paper aims to explore the following question: does the industry context influence management attitudes towards being a professional?

Previous research has identified traits that define a professional. Using this framework, the features of a profession are explored from the perspective of hotel financial controllers. Primary research is used to further explore attitudes towards the achievement of these traits.

The characteristics of this particular industry do appear to impact on attitudes towards professionalism, from the perspective of organizations and the professional association, in comparison to more traditional professions. Although the industry desires to become more professional, there is unwillingness to promote career development and other approaches for hotel controllers. Individuals, however, wish to meet the desired traits and hence improve their personal status and careers.

This research has examined only one type of manager in hotels, and various contradictions have emerged. Other managers in hotels may also demonstrate certain characteristics influenced by the industry context that could be further explored, and further attitudes towards professionalism in the industry investigated.

Hotel companies must demonstrate commitment to their managers by investing in their development to improve levels of professionalism and hence profits. Professional associations can assist by providing appropriate courses at various levels, with a consequent increase in their own status as well as that of the industry.

Most previous research has focused on the profession rather than the industry context. This research raises questions as to the dominance of a particular industry on attitudes and hence on standards.

The COVID-19 pandemic provides an opportunity to review net neutrality and the notion that bright light rules are necessary to hold broadband providers from exercising market power. The 2015 Federal Communications Commission (FCC) Open Internet Order asserted that broadband providers have the capability and incentive to harm their customers and third-party service providers. It imposed a set of rules to control broadband providers’ offers, prices, and traffic management. The 2017 FCC vacated all but the transparency provisions of the OIO, restoring the oversight of broadband to the FTC.

This paper offers a review of the evidence regarding the effects of net neutrality regulation, including an investigation of the incidence of violations, or lack thereof, during the 2020 pandemic in the United States. It provides a review of the net neutrality literature and the international research on broadband provider behaviour during COVID-19. The paper presents original research conducted with FCC and FTC reports and a survey of news stories. Brief reviews of federal data on network performance and broadband adoption provide additional context. Given the limited incidence of violations that could be uncovered for the period, the paper suggests why broadband providers behaved opposite to regulatory advocates’ predictions. Contrary to many policy assertions, broadband providers did not block or throttle service, nor did they increase prices arbitrarily or decrease quality. Broadband providers appeared to expand availability, lower broadband prices, and make more networks available, frequently without customer charge. The paper suggests how policy could be updated to reflect the actual behaviour of broadband providers.